{"jobs":[{"id":"02698dc0-9416-425f-a13d-0938ffd229a8","title":"Enterprise Account Executive","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Bay Area or Remote","address":{"postalAddress":{"addressCountry":"United States"}}}],"publishedAt":"2026-07-08T18:49:30.240+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/anyscale/02698dc0-9416-425f-a13d-0938ffd229a8","applyUrl":"https://jobs.ashbyhq.com/anyscale/02698dc0-9416-425f-a13d-0938ffd229a8/application","descriptionHtml":"

About Anyscale:

At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.

With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.

Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.

About the role:

Anyscale is growing its Sales Team! We're looking for a Bay Area based Enterprise Account Executive to build out our enterprise-level client relationships. This is a Hunter role, so you will be prospecting, developing, and closing new business while focusing on the clients’ requirements. The Enterprise AE’s must have the confidence and ability to negotiate and close agreements with clients and support new customers.

This role is a unique opportunity to contribute in a meaningful way to high visibility, high impact projects at a very exciting time for the company. Anyscale is an innovative, high-growth, customer-focused company in a large and growing market. If you are an energetic, self-managed professional with experience managing a complex sales process and possess excellent presentation and listening skills, organization and contact management capabilities, we’d love to hear from you.

As part of this role, you will:

We'd love to hear from you if you have:

Why Anyscale

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.

 

Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

","descriptionPlain":"About Anyscale:\n\nAt Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI https://thenewstack.io/how-ray-a-distributed-ai-framework-helps-power-chatgpt/, Uber https://www.uber.com/blog/horovod-ray/, Spotify https://engineering.atspotify.com/2023/02/unleashing-ml-innovation-at-spotify-with-ray/, Instacart https://www.youtube.com/watch?v=3t26ucTy0Rs&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=23&pp=iAQB, Cruise https://www.youtube.com/watch?v=gj0BqvfX_wI&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=46&pp=iAQB, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.\n\nWith Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.\n\nProud to be backed by Andreessen Horowitz, NEA, and Addition https://www.wsj.com/articles/ai-startup-anyscale-adds-99-million-to-andressen-horowitz-led-funding-round-11661254200 with $250+ million raised to date.\n\n\n\nAbout the role:\n\nAnyscale is growing its Sales Team! We're looking for a Bay Area based Enterprise Account Executive to build out our enterprise-level client relationships. This is a Hunter role, so you will be prospecting, developing, and closing new business while focusing on the clients’ requirements. The Enterprise AE’s must have the confidence and ability to negotiate and close agreements with clients and support new customers.\n\nThis role is a unique opportunity to contribute in a meaningful way to high visibility, high impact projects at a very exciting time for the company. Anyscale is an innovative, high-growth, customer-focused company in a large and growing market. If you are an energetic, self-managed professional with experience managing a complex sales process and possess excellent presentation and listening skills, organization and contact management capabilities, we’d love to hear from you.\n\n\n\nAs part of this role, you will:\n\n - Achieve sales quotas for named accounts on a quarterly and annual basis by developing a sales strategy in the allocated territory with a target prospect list, and a regional sales plan\n\n - Develop marketing plans with the marketing team to drive revenue growth\n\n - Be the trusted advisor to the customer by understanding their existing and future roadmap to drive the Anyscale solution within the marketplace\n\n - Prospect qualification and the development of new sales opportunities and ongoing revenue streams\n\n - Arrange and conduct initial Executive and CxO discussions and positioning meetings\n\n - Sales process management and opportunity closure\n\n - Ongoing account management to ensure customer satisfaction and drive additional revenue streams.\n\n - Be familiar with solution-based approach to selling, have experience managing a complex sales process and possess excellent presentation and listening skills, organization and contact management capabilities\n\n - Some understanding of the data, compute, ML space and an ability to carry a technical conversation on these topics\n\n\n\nWe'd love to hear from you if you have:\n\n - A track record of success in driving consistent activity, pipeline development and quota achievement\n\n - 5+ years of full cycle sales experience selling software or cloud based applications\n\n - Emphasis on ML, Cloud, and Infrastructure solutions\n\n - Ability to generate meetings, build your own pipeline while running strategy engagemehnts with prospects and potential customers\n\n - Experience determining customer requirements and presenting appropriate solutions\n\n - Proactive, independent thinker with high energy/positive attitude\n\n - Excellent verbal and written communication, presentation, and relationship management skillsAbility to thrive in fast-paced startup environment\n\n\n\n\nWHY ANYSCALE\n\n - We're on a mission to make scalable computing effortless. Ray is the AI Compute Engine at the center of some of the world's most powerful AI platforms\n\n - Our tech is in production at companies like OpenAI, Uber, Spotify, Instacart, and Cruise\n\n - We're backed by Andreessen Horowitz, NEA, and Addition, with $250M+ raised to date\n\n - Recent partnerships with Azure, CoreWeave, and Google Cloud are putting AI-native compute directly into enterprise environments\n\n - Competitive salary and equity, plus health/dental/vision coverage (many plans up to 99% employer-covered)\n\n - We offer flexible time off, paid parental leave, and mental health support\n\nAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.\n\n \n\nAnyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation https://drive.google.com/file/d/1Kt2S6_k_SjxaEdGowH4rngVdg2ApAQV3/view?usp=sharing and the Right to Work posters in English and Spanish https://drive.google.com/file/d/1K3Nz72xgsU2hngnVUEu53wEeZjbAMbnZ/view?usp=sharing"},{"id":"8b29c5e5-d56f-4c52-8887-a6a1827cf042","title":"Software Engineer, Ray Core","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Bengaluru, Karnataka","secondaryLocations":[],"publishedAt":"2026-07-28T21:38:22.880+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/anyscale/8b29c5e5-d56f-4c52-8887-a6a1827cf042","applyUrl":"https://jobs.ashbyhq.com/anyscale/8b29c5e5-d56f-4c52-8887-a6a1827cf042/application","descriptionHtml":"

About Anyscale:


At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.


With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.


Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.


About the role

Ray aims to provide a universal API for building distributed applications. To achieve this goal requires a distributed system with high levels of performance and reliability. We're looking for engineers with systems software experience that are interested in contributing to the Ray backend.


About the Ray Core Team

The Ray Core team develops and maintains the Ray C++ backend (e.g., distributed scheduler, language runtime integration, I/O and memory subsystems). We are responsible for the reliability, scalability, and performance of Ray as well as ensuring that Ray provides the right feature set to support higher level libraries and use cases. The team works on a balance of new features / distributed libraries, test infra improvements, debugging, and longer-term architectural improvements to Ray.


A snapshot of projects you can work on:

- Optimizing performance of large-scale workloads on Ray

- Stability and stress testing infrastructure

- Improving fault tolerance (HA)

As part of this role, you will:

We'd love to hear from you if have:

Why Anyscale

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.

 

Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

","descriptionPlain":"About Anyscale:\n\n\n\n\nAt Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI https://thenewstack.io/how-ray-a-distributed-ai-framework-helps-power-chatgpt/, Uber https://www.uber.com/blog/horovod-ray/, Spotify https://engineering.atspotify.com/2023/02/unleashing-ml-innovation-at-spotify-with-ray/, Instacart https://www.youtube.com/watch?v=3t26ucTy0Rs&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=23&pp=iAQB, Cruise https://www.youtube.com/watch?v=gj0BqvfX_wI&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=46&pp=iAQB, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.\n\n\n\n\nWith Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.\n\n\n\n\nProud to be backed by Andreessen Horowitz, NEA, and Addition https://www.wsj.com/articles/ai-startup-anyscale-adds-99-million-to-andressen-horowitz-led-funding-round-11661254200 with $250+ million raised to date.\n\n\n\n\nAbout the role\n\nRay aims to provide a universal API for building distributed applications. To achieve this goal requires a distributed system with high levels of performance and reliability. We're looking for engineers with systems software experience that are interested in contributing to the Ray backend.\n\n\n\n\nAbout the Ray Core Team\n\nThe Ray Core team develops and maintains the Ray C++ backend (e.g., distributed scheduler, language runtime integration, I/O and memory subsystems). We are responsible for the reliability, scalability, and performance of Ray as well as ensuring that Ray provides the right feature set to support higher level libraries and use cases. The team works on a balance of new features / distributed libraries, test infra improvements, debugging, and longer-term architectural improvements to Ray.\n\n\n\n\nA snapshot of projects you can work on:\n\n- Optimizing performance of large-scale workloads on Ray\n\n- Stability and stress testing infrastructure\n\n- Improving fault tolerance (HA)\n\n\n\nAs part of this role, you will:\n\n - Develop high quality open source software to simplify distributed programming (Ray)\n\n - Identify, implement, and evaluate architectural improvements to Ray core\n\n - Improve the testing process for Ray to make releases as smooth as possible\n\n - Communicate your work to a broader audience through talks, tutorials, and blog posts\n\n\n\nWe'd love to hear from you if have:\n\n - At least 2 year of relevant work experience\n\n - Solid background in algorithms, data structures, system design\n\n - Experience in building scalable and fault-tolerant distributed systems\n\n - Knowledge of distributed model training and inference (e.g. tensor parallel, pipeline parallel) is preferred\n\n - Knowledge of GPU programming is preferred\n\n\nWHY ANYSCALE\n\n - We're on a mission to make scalable computing effortless. Ray is the AI Compute Engine at the center of some of the world's most powerful AI platforms\n\n - Our tech is in production at companies like OpenAI, Uber, Spotify, Instacart, and Cruise\n\n - We're backed by Andreessen Horowitz, NEA, and Addition, with $250M+ raised to date\n\n - Recent partnerships with Azure, CoreWeave, and Google Cloud are putting AI-native compute directly into enterprise environments\n\n - Competitive salary and equity, plus health/dental/vision coverage (many plans up to 99% employer-covered)\n\n - We offer flexible time off, paid parental leave, and mental health support\n\nAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.\n\n \n\nAnyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation https://drive.google.com/file/d/1Kt2S6_k_SjxaEdGowH4rngVdg2ApAQV3/view?usp=sharing and the Right to Work posters in English and Spanish https://drive.google.com/file/d/1K3Nz72xgsU2hngnVUEu53wEeZjbAMbnZ/view?usp=sharing"},{"id":"1cf38233-8aa0-47f8-9d85-65ce27bc3047","title":"Distributed LLM Inference Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Palo Alto","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Palo Alto"}}}],"publishedAt":"2026-05-27T23:45:11.194+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":null,"jobUrl":"https://jobs.ashbyhq.com/anyscale/1cf38233-8aa0-47f8-9d85-65ce27bc3047","applyUrl":"https://jobs.ashbyhq.com/anyscale/1cf38233-8aa0-47f8-9d85-65ce27bc3047/application","descriptionHtml":"

About Anyscale

At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.


With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.


Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.


About the role

As a Distributed LLM Inference Engineer, you will help systems and optimizations that push the boundaries of performance for inference at large scale. This is an incredibly critical role to Anyscale as it allows us to achieve a market leading position for  AI infrastructure.

As part of this role, you will

We'd love to hear from you if you have

Bonus points!

Compensation

At Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent.  As the market data changes over time, the target salary for this role may be adjusted.

This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including the following:

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. 

Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

","descriptionPlain":"About Anyscale\n\nAt Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI https://thenewstack.io/how-ray-a-distributed-ai-framework-helps-power-chatgpt/, Uber https://www.uber.com/blog/horovod-ray/, Spotify https://engineering.atspotify.com/2023/02/unleashing-ml-innovation-at-spotify-with-ray/, Instacart https://www.youtube.com/watch?v=3t26ucTy0Rs&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=23&pp=iAQB, Cruise https://www.youtube.com/watch?v=gj0BqvfX_wI&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=46&pp=iAQB, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.\n\n\n\n\nWith Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.\n\n\n\n\nProud to be backed by Andreessen Horowitz, NEA, and Addition https://www.wsj.com/articles/ai-startup-anyscale-adds-99-million-to-andressen-horowitz-led-funding-round-11661254200 with $250+ million raised to date.\n\n\n\n\nAbout the role\n\nAs a Distributed LLM Inference Engineer, you will help systems and optimizations that push the boundaries of performance for inference at large scale. This is an incredibly critical role to Anyscale as it allows us to achieve a market leading position for  AI infrastructure.\n\n\n\n\n\nAs part of this role, you will\n\n - Iterate very quickly with product teams to ship the end to end solutions for Batch and Online inference at high scale which will be used by open-source Ray users and customers of Anyscale\n\n - Work across the stack integrating Ray Data and LLM engine providing optimizations achieving low cost solutions for large scale ML inference \n\n - Integrate with Open source software like vLLM, work closely with the community to adopt these techniques in Anyscale solutions, and also contribute improvements to open source\n\n - Follow the latest state-of-the-art in the open source and the research community, implementing and extending best practices \n\n\n\n\n\nWe'd love to hear from you if you have\n\n - Familiarity with running ML inference at large scale with high throughput and low latency\n\n - Familiarity with deep learning and deep learning frameworks (e.g. PyTorch)\n\n - Solid understanding of distributed systems, ML inference challenges\n\n\n\n\n\nBonus points!\n\n - ML Systems knowledge\n\n - Experience using Ray \n\n - Work closely with community on LLM engines like vLLM, TensorRT-LLM\n\n - Contributions to deep learning frameworks (PyTorch, TensorFlow)\n\n - Contributions to deep learning compilers (Triton, TVM, MLIR)\n\n - Prior experience working on GPUs / CUDA\n\n\n\nCompensation\n\nAt Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent.  As the market data changes over time, the target salary for this role may be adjusted. \n\nThis role is also eligible to participate in Anyscale's Equity and Benefits offerings, including the following:\n\n - Stock Options\n\n - Healthcare plans, with premiums covered by Anyscale at 99% for both employees and dependents\n\n - 401k Retirement Plan\n\n - Education & Wellbeing Stipend\n\n - Paid Parental Leave\n\n - Fertility Benefits\n\n - Paid Time Off\n\n - Commute reimbursement\n\n - 100% of in-office meals covered\n\n\n\nAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. \n\n\n\nAnyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation https://drive.google.com/file/d/1Kt2S6_k_SjxaEdGowH4rngVdg2ApAQV3/view?usp=sharing and the Right to Work posters in English and Spanish https://drive.google.com/file/d/1K3Nz72xgsU2hngnVUEu53wEeZjbAMbnZ/view?usp=sharing\n\n"},{"id":"8691daef-bfe5-4d01-871f-cf2226ba0c82","title":"Software Engineer, Infrastructure","department":"Engineering","team":"Foundations","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-08-19T14:57:46.290+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":null,"jobUrl":"https://jobs.ashbyhq.com/anyscale/8691daef-bfe5-4d01-871f-cf2226ba0c82","applyUrl":"https://jobs.ashbyhq.com/anyscale/8691daef-bfe5-4d01-871f-cf2226ba0c82/application","descriptionHtml":"

About Anyscale:

At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We're commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.

With Anyscale, we're building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.

Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.


About the role

Anyscale is looking for a Software Engineer to join the Platform and Infrastructure team. Anyscale aims to provide the next generation of tools and infrastructure to make developing and running distributed AI applications in the cloud as easy as on your laptop. As part of the team, we build the scalable, secure, and robust backbone that enables this vision, ensuring that our \"infinite laptop\" vision scales to meet the most demanding distributed AI workloads in the world.


Our team is responsible for both the control plane, which orchestrates cluster management, scheduling, and user access, and the data plane, which ensures high-performance execution of distributed workloads.


We are seeking a talented Software Engineer with a strong background in control plane and data plane development, along with expertise in Kubernetes, container orchestration, and cloud-native infrastructure. You will play a crucial role in designing, implementing, and optimizing the critical infrastructure that powers Anyscale's cloud platform.


You will have the opportunity to work on open-source Ray, contribute to our infinite laptop proprietary product, and develop seamless integration between the two, while also delivering high-impact features for our customers.

A snapshot of projects you may work on

We'd love to hear from you if have

Why Anyscale

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.

 

Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

","descriptionPlain":"About Anyscale:\n\n\n\nAt Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We're commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.\n\n\n\nWith Anyscale, we're building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.\n\n\n\nProud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.\n\n\n\n\nAbout the role\n\n\n\nAnyscale is looking for a Software Engineer to join the Platform and Infrastructure team. Anyscale aims to provide the next generation of tools and infrastructure to make developing and running distributed AI applications in the cloud as easy as on your laptop. As part of the team, we build the scalable, secure, and robust backbone that enables this vision, ensuring that our \"infinite laptop\" vision scales to meet the most demanding distributed AI workloads in the world.\n\n\n\n\nOur team is responsible for both the control plane, which orchestrates cluster management, scheduling, and user access, and the data plane, which ensures high-performance execution of distributed workloads.\n\n\n\n\nWe are seeking a talented Software Engineer with a strong background in control plane and data plane development, along with expertise in Kubernetes, container orchestration, and cloud-native infrastructure. You will play a crucial role in designing, implementing, and optimizing the critical infrastructure that powers Anyscale's cloud platform.\n\n\n\n\nYou will have the opportunity to work on open-source Ray, contribute to our infinite laptop proprietary product, and develop seamless integration between the two, while also delivering high-impact features for our customers.\n\n\n\nA snapshot of projects you may work on\n\n - Design, build, and scale services that orchestrate Ray clusters across cloud and on-prem environments, supporting both VM-based and Kubernetes-based deployments\n\n - Optimize control plane components for large-scale, distributed AI/ML workloads\n\n - Build intelligent scheduling and resource management systems for heterogeneous compute clusters\n\n - Develop features to enhance the reliability, performance, scalability, and observability of Anyscale-managed Ray workloads\n\n - Support and optimize accelerator integration (e.g., GPUs, TPUs).\n\n - Handle container image management and dependency resolution for distributed workloads\n\n - Participate in code reviews, design and architecture discussions\n\n - Provide on-call support, working closely with customer and field teams to troubleshoot infrastructure issues\n\n - Collaborate with leading distributed systems and machine learning experts to push the boundaries of AI infrastructure\n\n\n\nWe'd love to hear from you if have\n\n - Bachelor's degree in Computer Science, Engineering, or equivalent practical experience\n\n - 3+ years of experience writing high-quality production code\n\n - Hands-on experience in building and maintaining highly available, scalable, and performant distributed system\n\n - Expertise in cloud-native technologies (AWS, Azure, GCP) and Kubernetes-based deployments\n\n - Deep understanding of networking, security, and authentication mechanisms in cloud environment\n\n - Familiarity with observability stacks (Prometheus, Grafana etc)\n\n - Proficiency in Go and Python\n\n - Knowledge of low-level operating system foundations (Linux kernel, file systems, containers)\n\n\nWHY ANYSCALE\n\n - We're on a mission to make scalable computing effortless. Ray is the AI Compute Engine at the center of some of the world's most powerful AI platforms\n\n - Our tech is in production at companies like OpenAI, Uber, Spotify, Instacart, and Cruise\n\n - We're backed by Andreessen Horowitz, NEA, and Addition, with $250M+ raised to date\n\n - Recent partnerships with Azure, CoreWeave, and Google Cloud are putting AI-native compute directly into enterprise environments\n\n - Competitive salary and equity, plus health/dental/vision coverage (many plans up to 99% employer-covered)\n\n - We offer flexible time off, paid parental leave, and mental health support\n\nAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.\n\n \n\nAnyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation https://drive.google.com/file/d/1Kt2S6_k_SjxaEdGowH4rngVdg2ApAQV3/view?usp=sharing and the Right to Work posters in English and Spanish https://drive.google.com/file/d/1K3Nz72xgsU2hngnVUEu53wEeZjbAMbnZ/view?usp=sharing"},{"id":"71f0d335-6b29-437e-a7ae-ec1f3fc0b143","title":"Senior / Staff Product Manager - Ray Data","department":"Product","team":"340 Product Management","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Palo Alto","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Palo Alto"}}}],"publishedAt":"2025-07-10T20:37:54.246+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":null,"jobUrl":"https://jobs.ashbyhq.com/anyscale/71f0d335-6b29-437e-a7ae-ec1f3fc0b143","applyUrl":"https://jobs.ashbyhq.com/anyscale/71f0d335-6b29-437e-a7ae-ec1f3fc0b143/application","descriptionHtml":"

About the Role

Anyscale is seeking a Senior / Staff Product Manager to lead Ray Data, our scalable data processing library for ML and AI workloads.

This is a uniquely challenging role that requires balancing open source growth with commercial differentiation - driving rapid adoption in the open source Ray Data ecosystem while building compelling proprietary features for Anyscale RunTime, our high-performance commercial engine.

You'll own the entire Ray Data product roadmap in a competitive landscape, working closely with the engineering team, the field team, enterprise customers, and the open source community. Success requires:

Key Responsibilities

Required Qualifications

Preferred Qualifications

About Ray Data

Ray Data is a scalable data processing library built on Ray Core that provides flexible and performant APIs for distributed data processing. It enables offline batch inference and data preprocessing for ML training, scaling data processing to large clusters while maintaining ease of use for developers.

Why Anyscale

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.

 

Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

","descriptionPlain":"ABOUT THE ROLE\n\nAnyscale is seeking a Senior / Staff Product Manager to lead Ray Data, our scalable data processing library for ML and AI workloads.\n\nThis is a uniquely challenging role that requires balancing open source growth with commercial differentiation - driving rapid adoption in the open source Ray Data ecosystem while building compelling proprietary features for Anyscale RunTime, our high-performance commercial engine.\n\nYou'll own the entire Ray Data product roadmap in a competitive landscape, working closely with the engineering team, the field team, enterprise customers, and the open source community. Success requires:\n\n - Deeply ingraining yourself into the end-user experience to understand the nature of the product and its gaps and tradeoffs\n\n - Working closely with customers and open source users to draw the subtle line between growth and commercialization\n\n - Strategic thinking about which parts of the ML/Data lifecycle to focus on, identifying opportunities where our architectural strengths create the most value.\n\n - Thinking deeply about and clearly articulating the product strategy to stakeholders\n\n\nKEY RESPONSIBILITIES\n\n - Drive the Ray Data product roadmap - Balance open source Ray Data feature development with Anyscale Runtime commercial differentiation to ensure that both Ray Data becomes the open source standard for AI data processing and Anyscale Runtime remains sufficiently compelling.\n\n - Drive open source Ray Data adoption - Focus on community growth, developer experience, and ecosystem integrations\n\n - Market Positioning & Enablement - Work closely with Product Marketing on strategic market positioning, field enablement, and competitive analysis to maintain differentiation.\n\n - Customer engagement - Drive key customer engagements assisting sales and field engineering teams.\n\n\nREQUIRED QUALIFICATIONS\n\n - 4+ years of product management experience with technical products\n\n - Strong technical background in distributed systems, ML infrastructure, or data processing\n\n - Experience working with developer and enterprise audiences\n\n - Strategic thinking with ability to balance competing priorities and stakeholder needs\n\n - Located in or willing to relocate to the Bay Area\n\n\nPREFERRED QUALIFICATIONS\n\n - Prior experience with open source products and commercial monetization strategies\n\n - Background in ML tooling, data infrastructure, or developer tools\n\n\nABOUT RAY DATA\n\nRay Data is a scalable data processing library built on Ray Core that provides flexible and performant APIs for distributed data processing. It enables offline batch inference and data preprocessing for ML training, scaling data processing to large clusters while maintaining ease of use for developers.\n\n\n\n\nWHY ANYSCALE\n\n - We're on a mission to make scalable computing effortless. Ray is the AI Compute Engine at the center of some of the world's most powerful AI platforms\n\n - Our tech is in production at companies like OpenAI, Uber, Spotify, Instacart, and Cruise\n\n - We're backed by Andreessen Horowitz, NEA, and Addition, with $250M+ raised to date\n\n - Recent partnerships with Azure, CoreWeave, and Google Cloud are putting AI-native compute directly into enterprise environments\n\n - Competitive salary and equity, plus health/dental/vision coverage (many plans up to 99% employer-covered)\n\n - We offer flexible time off, paid parental leave, and mental health support\n\nAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.\n\n \n\nAnyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation https://drive.google.com/file/d/1Kt2S6_k_SjxaEdGowH4rngVdg2ApAQV3/view?usp=sharing and the Right to Work posters in English and Spanish https://drive.google.com/file/d/1K3Nz72xgsU2hngnVUEu53wEeZjbAMbnZ/view?usp=sharing"},{"id":"316cf655-f3f1-40c2-823f-34f1fce54fdc","title":"Software Engineer, Platform Infrastructure (Foundations)","department":"Engineering","team":"322 Infra","employmentType":"FullTime","location":"Bengaluru, Karnataka","secondaryLocations":[],"publishedAt":"2026-07-31T12:36:19.542+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/anyscale/316cf655-f3f1-40c2-823f-34f1fce54fdc","applyUrl":"https://jobs.ashbyhq.com/anyscale/316cf655-f3f1-40c2-823f-34f1fce54fdc/application","descriptionHtml":"

About Anyscale:


At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.


With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.


Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.


About the role:

Anyscale is looking for a Software Engineer to join the Infrastructure team. Anyscale aims to provide the next generation of tools and infrastructure to make developing and running distributed AI applications in the cloud as easy as on your laptop. As part of the Infra team, we build the scalable, secure, and robust backbone that enables this vision.

Our team is responsible for both the control plane, which orchestrates cluster management, scheduling, and user access, and the data plane, which ensures high-performance execution of distributed workloads.

We are seeking a talented Software Engineer with a strong background in control plane and data plane development, along with expertise in Kubernetes, container orchestration, and cloud-native infrastructure. You will play a crucial role in designing, implementing, and optimizing the critical infrastructure that powers Anyscale’s cloud platform.

You will have the opportunity to work on open-source Ray, contribute to our infinite laptop proprietary product, and develop seamless integration between the two, while also delivering high-impact features for our customers.

A snapshot of projects you may work on

We'd love to hear from you if have

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. 

","descriptionPlain":"About Anyscale:\n\n\nAt Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI https://thenewstack.io/how-ray-a-distributed-ai-framework-helps-power-chatgpt/, Uber https://www.uber.com/blog/horovod-ray/, Spotify https://engineering.atspotify.com/2023/02/unleashing-ml-innovation-at-spotify-with-ray/, Instacart https://www.youtube.com/watch?v=3t26ucTy0Rs&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=23&pp=iAQB, Cruise https://www.youtube.com/watch?v=gj0BqvfX_wI&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=46&pp=iAQB, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.\n\n\nWith Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.\n\n\nProud to be backed by Andreessen Horowitz, NEA, and Addition https://www.wsj.com/articles/ai-startup-anyscale-adds-99-million-to-andressen-horowitz-led-funding-round-11661254200 with $250+ million raised to date.\n\n\nAbout the role:\n\nAnyscale is looking for a Software Engineer to join the Infrastructure team. Anyscale aims to provide the next generation of tools and infrastructure to make developing and running distributed AI applications in the cloud as easy as on your laptop. As part of the Infra team, we build the scalable, secure, and robust backbone that enables this vision.\n\n\n\nOur team is responsible for both the control plane, which orchestrates cluster management, scheduling, and user access, and the data plane, which ensures high-performance execution of distributed workloads.\n\n\n\nWe are seeking a talented Software Engineer with a strong background in control plane and data plane development, along with expertise in Kubernetes, container orchestration, and cloud-native infrastructure. You will play a crucial role in designing, implementing, and optimizing the critical infrastructure that powers Anyscale’s cloud platform.\n\n\n\nYou will have the opportunity to work on open-source Ray, contribute to our infinite laptop proprietary product, and develop seamless integration between the two, while also delivering high-impact features for our customers.\n\n\n\nA snapshot of projects you may work on\n\n - Design, build, and scale services that orchestrate Ray clusters across cloud and on-prem environments, supporting both VM-based and Kubernetes-based deployments\n\n - Optimize control plane components for large-scale, distributed AI/ML workloads\n\n - Build intelligent scheduling and resource management systems for heterogeneous compute clusters\n\n - Develop features to enhance the reliability, performance, scalability, and observability of Anyscale-managed Ray workloads\n\n - Support and optimize accelerator integration (e.g., GPUs, TPUs).\n\n - Handle container image management and dependency resolution for distributed workloads\n\n - Participate in code reviews, design and architecture discussions\n\n - Provide on-call support, working closely with customer and field teams to troubleshoot infrastructure issues\n\n - Collaborate with leading distributed systems and machine learning experts to push the boundaries of AI infrastructure\n\n\n\n\n\nWe'd love to hear from you if have\n\n - Bachelor's degree in Computer Science, Engineering, or equivalent practical experience\n\n - 3+ years of experience writing high-quality production code\n\n - Hands-on experience in building and maintaining highly available, scalable, and performant distributed system\n\n - Expertise in cloud-native technologies (AWS, Azure, GCP) and Kubernetes-based deployments\n\n - Deep understanding of networking, security, and authentication mechanisms in cloud environment\n\n - Familiarity with observability stacks (Prometheus, Grafana etc)\n\n - Proficiency in Go and Python\n\n - Knowledge of low-level operating system foundations (Linux kernel, file systems, containers)\n\n\n\n\n\nAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. "},{"id":"2d76cfa2-f857-42b2-9c74-c07beca01458","title":"Software Engineer, Ray Data","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Bengaluru, Karnataka","secondaryLocations":[],"publishedAt":"2026-07-28T21:38:41.969+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/anyscale/2d76cfa2-f857-42b2-9c74-c07beca01458","applyUrl":"https://jobs.ashbyhq.com/anyscale/2d76cfa2-f857-42b2-9c74-c07beca01458/application","descriptionHtml":"

About Anyscale:


At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.


With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.


Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.


About the role:

Ray aims to provide a universal API for building distributed applications (e.g. a machine learning pipeline of feature engineering, model training, and evaluation). Data is usually a core element connecting these different stages, and therefore plays a critical role in Ray’s usability, performance, and stability. We are looking for strong engineers to build, optimize, and scale Ray’s Datasets library and data processing capabilities in general.

About the Ray Data team:

The Ray Data team currently develops and maintains the Ray Datasets library, which is already powering critical production use cases (e.g. large scale data compaction at Amazon, and ML pipeline at Alibaba). Ray Datasets is a Python library built on top of Apache Arrow and Ray Core (Ray’s C++ backend), and the Ray Data team interacts closely with Ray Core components including the scheduler and the memory & I/O subsystems. The Ray Data team also works closely with Ray’s ML libraries including Train, RLlib, and Serve.

A snapshot of projects you will work on:

- Performance of Ray Datasets at large scale (leveraging Arrow primitives, optimizing Ray object manager, etc.)

- Integration with ML training and data sources

- Stability and stress testing infrastructure

- Lead future work integrating streaming workloads into Ray such as Beam on Ray

- Differentiate Data operations in Anyscale hosted Ray service

As part of this role, you will:

We'd love to hear from you if have:

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.

","descriptionPlain":"About Anyscale:\n\n\nAt Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI https://thenewstack.io/how-ray-a-distributed-ai-framework-helps-power-chatgpt/, Uber https://www.uber.com/blog/horovod-ray/, Spotify https://engineering.atspotify.com/2023/02/unleashing-ml-innovation-at-spotify-with-ray/, Instacart https://www.youtube.com/watch?v=3t26ucTy0Rs&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=23&pp=iAQB, Cruise https://www.youtube.com/watch?v=gj0BqvfX_wI&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=46&pp=iAQB, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.\n\n\nWith Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.\n\n\nProud to be backed by Andreessen Horowitz, NEA, and Addition https://www.wsj.com/articles/ai-startup-anyscale-adds-99-million-to-andressen-horowitz-led-funding-round-11661254200 with $250+ million raised to date.\n\n\n\n\nAbout the role:\n\nRay aims to provide a universal API for building distributed applications (e.g. a machine learning pipeline of feature engineering, model training, and evaluation). Data is usually a core element connecting these different stages, and therefore plays a critical role in Ray’s usability, performance, and stability. We are looking for strong engineers to build, optimize, and scale Ray’s Datasets https://docs.ray.io/en/latest/data/dataset.html library and data processing capabilities in general.\n\n\n\nAbout the Ray Data team:\n\n\n\nThe Ray Data team currently develops and maintains the Ray Datasets https://docs.ray.io/en/latest/data/dataset.html library, which is already powering critical production use cases (e.g. large scale data compaction at Amazon https://www.anyscale.com/events/2022/01/20/ray-meetup-is-back-in-the-new-year-2022, and ML pipeline at Alibaba https://www.anyscale.com/blog/building-an-end-to-end-ml-pipeline-using-mars-and-xgboost-on-ray). Ray Datasets is a Python library built on top of Apache Arrow and Ray Core (Ray’s C++ backend), and the Ray Data team interacts closely with Ray Core components including the scheduler and the memory & I/O subsystems. The Ray Data team also works closely with Ray’s ML libraries including Train, RLlib, and Serve.\n\n\n\nA snapshot of projects you will work on:\n\n- Performance of Ray Datasets https://docs.ray.io/en/latest/data/dataset.html at large scale (leveraging Arrow primitives, optimizing Ray object manager, etc.)\n\n- Integration with ML training and data sources\n\n- Stability and stress testing infrastructure\n\n- Lead future work integrating streaming workloads into Ray such as Beam on Ray\n\n- Differentiate Data operations in Anyscale hosted Ray service\n\n\n\n\n\nAs part of this role, you will:\n\n - Develop high quality open source software to simplify distributed programming (Ray)\n\n - Identify, implement, and evaluate architectural improvements to Ray core and Datasets\n\n - Improve the testing process for Ray to make releases as smooth as possible\n\n - Communicate your work to a broader audience through talks, tutorials, and blog posts\n\n\n\n\n\nWe'd love to hear from you if have:\n\n - At least 5 years of relevant work experience\n\n - Solid background in algorithms, data structures, system design\n\n - Experience in building scalable and fault-tolerant distributed systems\n\n - Experience with data processing, database internals including Spark or Dask (streaming is a plus)\n \n \n\n\n\nAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law."},{"id":"1466478e-9797-4318-bdca-bb1ae5798d52","title":"Machine Learning Engineer, Customer Engineering","department":"Customer Solutions Group","team":"530 Customer Success","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-06-24T16:56:53.190+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":null,"jobUrl":"https://jobs.ashbyhq.com/anyscale/1466478e-9797-4318-bdca-bb1ae5798d52","applyUrl":"https://jobs.ashbyhq.com/anyscale/1466478e-9797-4318-bdca-bb1ae5798d52/application","descriptionHtml":"

About Anyscale

At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.

With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.

Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.

About the role

The Customer Engineer will play a crucial role in the customers’ post-sale journey - helping them to onboard, adopt and grow on Anyscale, troubleshooting and resolving open customer tickets and driving consumption.

Anyscale is an ever evolving platform and hence will require close co-ordination with our engineering teams to debug complex issues. This is an exciting role for those who are technically curious and passionate about ML/AI, LLM, vLLM and the role of AI in next generation applications. It’s an opportunity to make a significant impact in a collaborative, fast-paced environment while building a new segment in this space.

In this role, you’ll be able to

Qualifications

Bonus

Why Anyscale

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.

 

Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

","descriptionPlain":"About Anyscale\n\nAt Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI https://thenewstack.io/how-ray-a-distributed-ai-framework-helps-power-chatgpt/, Uber https://www.uber.com/blog/horovod-ray/, Spotify https://engineering.atspotify.com/2023/02/unleashing-ml-innovation-at-spotify-with-ray/, Instacart https://www.youtube.com/watch?v=3t26ucTy0Rs&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=23&pp=iAQB, Cruise https://www.youtube.com/watch?v=gj0BqvfX_wI&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=46&pp=iAQB, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.\n\nWith Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.\n\nProud to be backed by Andreessen Horowitz, NEA, and Addition https://www.wsj.com/articles/ai-startup-anyscale-adds-99-million-to-andressen-horowitz-led-funding-round-11661254200 with $250+ million raised to date.\n\nAbout the role\n\nThe Customer Engineer will play a crucial role in the customers’ post-sale journey - helping them to onboard, adopt and grow on Anyscale, troubleshooting and resolving open customer tickets and driving consumption.\n\nAnyscale is an ever evolving platform and hence will require close co-ordination with our engineering teams to debug complex issues. This is an exciting role for those who are technically curious and passionate about ML/AI, LLM, vLLM and the role of AI in next generation applications. It’s an opportunity to make a significant impact in a collaborative, fast-paced environment while building a new segment in this space.\n\nIn this role, you’ll be able to\n\n - Resolve customer issues and help in their successful adoption of Anyscale platform\n\n - Be a technical advisor, and internal champion for our key customers\n\n - Own customer issues end-to-end, from troubleshooting, triaging, escalations and eventual resolution\n\n - Participate in our follow-the-sun customer support model to ensure continuity in resolving high priority tickets\n\n - Keep track of open customer bugs and feature requests to influence prioritization and provide timely customer updates upon resolution\n\n - Contribute towards improvement of internal tools and documentation of playbooks, guides and best practices etc. based on observed patterns\n\n - Habitually provide feedback and collaborate cross-functionally with product and engineering teams to address customer issues with a focus on improving the product experience\n\n - Build and maintain strong relationships with technical stakeholders within customer accounts\n\nQualifications\n\n - 7+ years of experience in a Machine Learning role in a dynamic, fast-paced, startup-like environment\n\n - Strong organizational skills and ability to manage multiple customer needs simultaneously\n\n - Proficient at developing data pipelines for training, fine-tuning and inference/serving of LLMs\n\n - Experience running and optimizing infrastructure for distributed ML workloads on the major cloud platforms (AWS/EKS, GCP/GKE or Azure/AKS)\n\n - Excellent communication and interpersonal skills.\n\n - Strong sense of ownership, self-motivation and eagerness to acquire new skills and do new things\n\n - Willingness to up-level the knowledge and skills of your peers through mentorship, trainings and shadowing\n\nBonus\n\n - Experience with Ray\n\n - Knowledge of MLOps platforms\n\n - Knowledge of container orchestration platforms (e.g., Kubernetes), infrastructure as code (e.g. Terraform), CI/CD tools (e.g. Github Actions)\n\n\n\n\nWHY ANYSCALE\n\n - We're on a mission to make scalable computing effortless. Ray is the AI Compute Engine at the center of some of the world's most powerful AI platforms\n\n - Our tech is in production at companies like OpenAI, Uber, Spotify, Instacart, and Cruise\n\n - We're backed by Andreessen Horowitz, NEA, and Addition, with $250M+ raised to date\n\n - Recent partnerships with Azure, CoreWeave, and Google Cloud are putting AI-native compute directly into enterprise environments\n\n - Competitive salary and equity, plus health/dental/vision coverage (many plans up to 99% employer-covered)\n\n - We offer flexible time off, paid parental leave, and mental health support\n\nAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.\n\n \n\nAnyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation https://drive.google.com/file/d/1Kt2S6_k_SjxaEdGowH4rngVdg2ApAQV3/view?usp=sharing and the Right to Work posters in English and Spanish https://drive.google.com/file/d/1K3Nz72xgsU2hngnVUEu53wEeZjbAMbnZ/view?usp=sharing"},{"id":"23733eb9-f839-4209-b191-36cb0ff5b973","title":"Site Reliability Engineer, Platform Infrastructure (Foundations)","department":"Engineering","team":"322 Infra","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-08-26T14:31:25.197+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":null,"jobUrl":"https://jobs.ashbyhq.com/anyscale/23733eb9-f839-4209-b191-36cb0ff5b973","applyUrl":"https://jobs.ashbyhq.com/anyscale/23733eb9-f839-4209-b191-36cb0ff5b973/application","descriptionHtml":"

About Anyscale:


At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.


With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.


Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.


About the role:

Anyscale is looking for a Site Reliability Engineer to join the Infrastructure team. Anyscale aims to provide the next generation of tools and infrastructure to make developing and running distributed AI applications in the cloud as easy as on your laptop. As part of the Infra team, we build the scalable, secure, and robust backbone that enables this vision.

Our team is responsible for both the control plane, which orchestrates cluster management, scheduling, and user access, and the data plane, which ensures high-performance execution of distributed workloads.

We are seeking a talented engineers with a strong background in control plane and data plane development, along with expertise in Kubernetes, container orchestration, and cloud-native infrastructure. You will play a crucial role in designing, implementing, and optimizing the critical infrastructure that powers Anyscale’s cloud platform.

You will have the opportunity to work on open-source Ray, contribute to our infinite laptop proprietary product, and develop seamless integration between the two, while also delivering high-impact features for our customers.

A snapshot of projects you may work on

We'd love to hear from you if have

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. 

Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

","descriptionPlain":"About Anyscale:\n\n\nAt Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI https://thenewstack.io/how-ray-a-distributed-ai-framework-helps-power-chatgpt/, Uber https://www.uber.com/blog/horovod-ray/, Spotify https://engineering.atspotify.com/2023/02/unleashing-ml-innovation-at-spotify-with-ray/, Instacart https://www.youtube.com/watch?v=3t26ucTy0Rs&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=23&pp=iAQB, Cruise https://www.youtube.com/watch?v=gj0BqvfX_wI&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=46&pp=iAQB, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.\n\n\nWith Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.\n\n\nProud to be backed by Andreessen Horowitz, NEA, and Addition https://www.wsj.com/articles/ai-startup-anyscale-adds-99-million-to-andressen-horowitz-led-funding-round-11661254200 with $250+ million raised to date.\n\n\nAbout the role:\n\nAnyscale is looking for a Site Reliability Engineer to join the Infrastructure team. Anyscale aims to provide the next generation of tools and infrastructure to make developing and running distributed AI applications in the cloud as easy as on your laptop. As part of the Infra team, we build the scalable, secure, and robust backbone that enables this vision.\n\n\n\nOur team is responsible for both the control plane, which orchestrates cluster management, scheduling, and user access, and the data plane, which ensures high-performance execution of distributed workloads.\n\n\n\nWe are seeking a talented engineers with a strong background in control plane and data plane development, along with expertise in Kubernetes, container orchestration, and cloud-native infrastructure. You will play a crucial role in designing, implementing, and optimizing the critical infrastructure that powers Anyscale’s cloud platform.\n\n\n\nYou will have the opportunity to work on open-source Ray, contribute to our infinite laptop proprietary product, and develop seamless integration between the two, while also delivering high-impact features for our customers.\n\n\n\nA snapshot of projects you may work on\n\n - Design, build, and scale services that orchestrate Ray clusters across cloud and on-prem environments, supporting both VM-based and Kubernetes-based deployments\n\n - Optimize control plane components for large-scale, distributed AI/ML workloads\n\n - Build intelligent scheduling and resource management systems for heterogeneous compute clusters\n\n - Develop features to enhance the reliability, performance, scalability, and observability of Anyscale-managed Ray workloads\n\n - Support and optimize accelerator integration (e.g., GPUs, TPUs).\n\n - Handle container image management and dependency resolution for distributed workloads\n\n - Participate in code reviews, design and architecture discussions\n\n - Provide on-call support, working closely with customer and field teams to troubleshoot infrastructure issues\n\n - Collaborate with leading distributed systems and machine learning experts to push the boundaries of AI infrastructure\n\n\n\n\n\nWe'd love to hear from you if have\n\n - Bachelor's degree in Computer Science, Engineering, or equivalent practical experience\n\n - 3+ years of experience writing high-quality production code\n\n - Hands-on experience in building and maintaining highly available, scalable, and performant distributed system\n\n - Expertise in cloud-native technologies (AWS, Azure, GCP) and Kubernetes-based deployments\n\n - Deep understanding of networking, security, and authentication mechanisms in cloud environment\n\n - Familiarity with observability stacks (Prometheus, Grafana etc)\n\n - Proficiency in Go and Python\n\n - Knowledge of low-level operating system foundations (Linux kernel, file systems, containers)\n\n\n\n\n\n\n\nAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. \n\n\n\nAnyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation https://drive.google.com/file/d/1Kt2S6_k_SjxaEdGowH4rngVdg2ApAQV3/view?usp=sharing and the Right to Work posters in English and Spanish https://drive.google.com/file/d/1K3Nz72xgsU2hngnVUEu53wEeZjbAMbnZ/view?usp=sharing"},{"id":"469054d6-da2d-4945-8ea1-63ff5bc8007e","title":"Head of Customer Engineering ","department":"Customer Solutions Group","team":"Customer Solutions Group","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-07-03T00:09:02.669+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/anyscale/469054d6-da2d-4945-8ea1-63ff5bc8007e","applyUrl":"https://jobs.ashbyhq.com/anyscale/469054d6-da2d-4945-8ea1-63ff5bc8007e/application","descriptionHtml":"
 

About Anyscale:

 

At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.

 

With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.

 

Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.

 

About the role

Anyscale is looking for an experienced and hands-on engineering leader to lead our Customer Engineering team. This is a critical leadership role within our Go-To-Market organization, responsible for delivering exceptional technical support while helping ensure customer experiences directly influence the evolution of our platform.

You will lead a highly technical team responsible for supporting customers running production AI workloads on Anyscale. Your team will resolve complex technical issues, manage customer escalations, and partner closely with Product and Engineering to ensure customer feedback is translated into meaningful product improvements.

Success in this role requires balancing operational excellence with strong technical leadership. Beyond resolving individual customer issues, you will help the team identify recurring patterns, improve support workflows, expand customer self-service, and leverage automation, diagnostics, and engineering best practices to improve both the customer experience and the product over time. As opportunities arise, your team may also contribute tooling, documentation, automation, or occasional product fixes that help eliminate recurring sources of customer friction.

This role is ideal for someone who enjoys leading highly technical engineers, working closely with customers, and partnering across Engineering and Product to continuously improve how customers adopt and operate AI infrastructure at scale.

You'll be responsible for

We'd love to hear from you if you have

Bonus points if

Why Anyscale

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.

 

Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

 
","descriptionPlain":" \n\nAbout Anyscale:\n\n \n\nAt Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI https://thenewstack.io/how-ray-a-distributed-ai-framework-helps-power-chatgpt/, Uber https://www.uber.com/blog/horovod-ray/, Spotify https://engineering.atspotify.com/2023/02/unleashing-ml-innovation-at-spotify-with-ray/, Instacart https://www.youtube.com/watch?v=3t26ucTy0Rs&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=23&pp=iAQB, Cruise https://www.youtube.com/watch?v=gj0BqvfX_wI&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=46&pp=iAQB, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.\n\n \n\nWith Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.\n\n \n\nProud to be backed by Andreessen Horowitz, NEA, and Addition https://www.wsj.com/articles/ai-startup-anyscale-adds-99-million-to-andressen-horowitz-led-funding-round-11661254200 with $250+ million raised to date.\n\n \n\nAbout the role \n\nAnyscale is looking for an experienced and hands-on engineering leader to lead our Customer Engineering team. This is a critical leadership role within our Go-To-Market organization, responsible for delivering exceptional technical support while helping ensure customer experiences directly influence the evolution of our platform.\n\nYou will lead a highly technical team responsible for supporting customers running production AI workloads on Anyscale. Your team will resolve complex technical issues, manage customer escalations, and partner closely with Product and Engineering to ensure customer feedback is translated into meaningful product improvements.\n\nSuccess in this role requires balancing operational excellence with strong technical leadership. Beyond resolving individual customer issues, you will help the team identify recurring patterns, improve support workflows, expand customer self-service, and leverage automation, diagnostics, and engineering best practices to improve both the customer experience and the product over time. As opportunities arise, your team may also contribute tooling, documentation, automation, or occasional product fixes that help eliminate recurring sources of customer friction.\n\nThis role is ideal for someone who enjoys leading highly technical engineers, working closely with customers, and partnering across Engineering and Product to continuously improve how customers adopt and operate AI infrastructure at scale.\n\nYou'll be responsible for\n\n - Lead a high-performing Customer Engineering team responsible for technical support, customer escalations, and technical issue resolution.\n\n - Own the operational health of the Customer Engineering team, including customer satisfaction, support quality, response times, and engineering effectiveness.\n\n - Coach and mentor a team of highly technical engineers, fostering a culture of customer focus, technical excellence, collaboration, and continuous improvement.\n\n - Build robust reporting and analytics to identify recurring customer challenges, measure operational performance, and drive continuous improvement.\n\n - Partner closely with Product Management and Engineering to communicate customer pain points, identify systemic issues, and influence product improvements based on customer feedback.\n\n - Guide the team through complex debugging, root-cause analysis, and customer escalations involving distributed systems, cloud infrastructure, and AI workloads.\n\n - Drive initiatives that reduce repeat customer issues through improved documentation, diagnostics, automation, operational improvements, and customer enablement.\n\n - Encourage the team to contribute tooling, automation, documentation, and, where appropriate, product improvements that reduce long-term customer friction.\n\n - Contribute as a key member of the Field and Customer Engineering leadership team, helping shape Anyscale's customer experience strategy.\n\nWe'd love to hear from you if you have\n\n - 8+ years of engineering experience, including 3–5+ years leading Support Engineering, Customer Engineering, Developer Support, Site Reliability Engineering, or related technical teams.\n\n - Experience leading customer-facing engineering teams in a high-growth SaaS or infrastructure software company.\n\n - Strong technical background with experience supporting cloud infrastructure, distributed systems, Kubernetes, AI/ML platforms, or developer infrastructure.\n\n - Demonstrated success improving the effectiveness of technical customer organizations through operational improvements, technical leadership, and strong cross-functional partnerships.\n\n - Experience partnering closely with Product Management and Engineering to communicate customer needs and influence product improvements.\n\n - Strong understanding of operational metrics and experience using data to improve customer outcomes and team performance.\n\n - Exceptional communication skills, with the ability to work effectively with customers, executives, product managers, and engineers.\n\n - Demonstrated success leading teams through complex customer escalations and technical problem solving.\n\n - Entrepreneurial mindset with a strong sense of ownership, pragmatism, and bias for execution.\n\nBonus points if \n\n - You've led a Support Engineering, Customer Engineering, Developer Experience, or Site Reliability Engineering team.\n\n - You have experience contributing software, tooling, automation, or diagnostics while working in a customer-facing engineering organization.\n\n - You have experience with Ray or other distributed computing frameworks.\n\n - You have experience supporting AI/ML infrastructure or modern cloud platforms.\n\n - You've worked at a Series C or Series D startup.\n\n - You have experience working with open-source communities or partnering closely with engineering teams to improve products based on customer feedback.\n\n\n\n\nWHY ANYSCALE\n\n - We're on a mission to make scalable computing effortless. Ray is the AI Compute Engine at the center of some of the world's most powerful AI platforms\n\n - Our tech is in production at companies like OpenAI, Uber, Spotify, Instacart, and Cruise\n\n - We're backed by Andreessen Horowitz, NEA, and Addition, with $250M+ raised to date\n\n - Recent partnerships with Azure, CoreWeave, and Google Cloud are putting AI-native compute directly into enterprise environments\n\n - Competitive salary and equity, plus health/dental/vision coverage (many plans up to 99% employer-covered)\n\n - We offer flexible time off, paid parental leave, and mental health support\n\nAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.\n\n \n\nAnyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation https://drive.google.com/file/d/1Kt2S6_k_SjxaEdGowH4rngVdg2ApAQV3/view?usp=sharing and the Right to Work posters in English and Spanish https://drive.google.com/file/d/1K3Nz72xgsU2hngnVUEu53wEeZjbAMbnZ/view?usp=sharing\n\n "},{"id":"b600005c-2bb4-47cc-811e-78869e41baa0","title":"Senior Product Security Engineer","department":"Engineering","team":"323 Security","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-08-26T21:45:40.119+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/anyscale/b600005c-2bb4-47cc-811e-78869e41baa0","applyUrl":"https://jobs.ashbyhq.com/anyscale/b600005c-2bb4-47cc-811e-78869e41baa0/application","descriptionHtml":"

At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.

With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.

Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.

About the Role

Anyscale's product security needs are growing as we ship to larger and more demanding customers. We're looking for a Senior Product Security Engineer to own our secure software development lifecycle and to be engineering's partner on building security into the product. Reporting to the Head of Security, you will work in close partnership with engineering.

This is a senior, high-ownership role. You will own and operate a scalable SSDL, partner with engineering on security features and secure design, review the security of existing systems and new initiatives, and own how we find, track, drive to resolution and report on vulnerabilities in what we ship. This role is based in India.

In your first year, success looks like an SSDL that scales with engineering rather than gating it, security review embedded in how new initiatives ship, and accurate, on-demand vulnerability reporting backed by a working path to resolution.

What You'll Do

What You'll Bring

Nice to Have

Why Anyscale

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.

 

Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

","descriptionPlain":"At Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI https://thenewstack.io/how-ray-a-distributed-ai-framework-helps-power-chatgpt/, Uber https://www.uber.com/blog/horovod-ray/, Spotify https://engineering.atspotify.com/2023/02/unleashing-ml-innovation-at-spotify-with-ray/, Instacart https://www.youtube.com/watch?v=3t26ucTy0Rs&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=23&pp=iAQB, Cruise https://www.youtube.com/watch?v=gj0BqvfX_wI&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=46&pp=iAQB, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.\n\nWith Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.\n\nProud to be backed by Andreessen Horowitz, NEA, and Addition https://www.wsj.com/articles/ai-startup-anyscale-adds-99-million-to-andressen-horowitz-led-funding-round-11661254200 with $250+ million raised to date.\n\n\n\n\nABOUT THE ROLE\n\nAnyscale's product security needs are growing as we ship to larger and more demanding customers. We're looking for a Senior Product Security Engineer to own our secure software development lifecycle and to be engineering's partner on building security into the product. Reporting to the Head of Security, you will work in close partnership with engineering.\n\nThis is a senior, high-ownership role. You will own and operate a scalable SSDL, partner with engineering on security features and secure design, review the security of existing systems and new initiatives, and own how we find, track, drive to resolution and report on vulnerabilities in what we ship. This role is based in India.\n\nIn your first year, success looks like an SSDL that scales with engineering rather than gating it, security review embedded in how new initiatives ship, and accurate, on-demand vulnerability reporting backed by a working path to resolution.\n\n\nWHAT YOU'LL DO\n\n - Own and operate a scalable secure software development lifecycle: threat modeling, security requirements, secure design practices, and scanning that engineering can readily adopt.\n\n - Partner with engineering on security features and secure-by-design architecture, from early design through implementation.\n\n - Review the security of existing systems and new initiatives, and turn findings into prioritized, actionable work.\n\n - Own vulnerability management for what we ship: enumerate components, map known vulnerabilities, and produce accurate posture reporting on demand.\n\n - Drive vulnerabilities to resolution with engineering against defined SLAs.\n\n - Own software composition analysis, secret scanning, and SAST across product repositories, and set the bar for secure-development checks.\n\n - Mentor other engineers and raise the security bar across the organization.\n\n\nWHAT YOU'LL BRING\n\n - 8+ years in product or application security, with senior-level depth, ideally at a high-growth startup.\n\n - Demonstrated ownership of a secure software development lifecycle at scale, including threat modeling and secure design review.\n\n - A strong hands-on background partnering with engineering on security features and architecture, not just reporting findings.\n\n - Deep experience with software composition analysis, secret scanning, and SAST or secure-development tooling in real repositories.\n\n - A solid understanding of software supply chain security and how to enumerate what an organization ships, including SBOM approaches.\n\n - Experience triaging vulnerabilities using CVSS and business context and driving them to resolution with engineering.\n\n - The communication and seniority to set direction, review others' work, and raise the bar for those around you.\n\n\nNICE TO HAVE\n\n - Experience producing vulnerability or security posture reporting for enterprise or regulated customers.\n\n - Familiarity with container artifact security, including image scanning, signing, and SBOM generation.\n\n - Experience building or maturing an SSDL program at scale.\n\n - Background in AI or ML platforms or distributed systems.\n\n\nWHY ANYSCALE\n\n - We're on a mission to make scalable computing effortless. Ray is the AI Compute Engine at the center of some of the world's most powerful AI platforms\n\n - Our tech is in production at companies like OpenAI, Uber, Spotify, Instacart, and Cruise\n\n - We're backed by Andreessen Horowitz, NEA, and Addition, with $250M+ raised to date\n\n - Recent partnerships with Azure, CoreWeave, and Google Cloud are putting AI-native compute directly into enterprise environments\n\n - Competitive salary and equity, plus health/dental/vision coverage (many plans up to 99% employer-covered)\n\n - We offer flexible time off, paid parental leave, and mental health support\n\nAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.\n\n \n\nAnyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation https://drive.google.com/file/d/1Kt2S6_k_SjxaEdGowH4rngVdg2ApAQV3/view?usp=sharing and the Right to Work posters in English and Spanish https://drive.google.com/file/d/1K3Nz72xgsU2hngnVUEu53wEeZjbAMbnZ/view?usp=sharing"},{"id":"8458b260-6129-4565-86a9-47224c0cbca8","title":"Compliance Manager","department":"Engineering","team":"323 Security","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-08-26T21:17:14.247+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/anyscale/8458b260-6129-4565-86a9-47224c0cbca8","applyUrl":"https://jobs.ashbyhq.com/anyscale/8458b260-6129-4565-86a9-47224c0cbca8/application","descriptionHtml":"

At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.

With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.

Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.

About the Role

Anyscale's security and compliance needs are growing as we work with larger and more demanding customers. Compliance is increasingly a customer-facing, contractual function rather than an internal exercise, and we are looking for someone to own it.

This role owns that function end to end: our audits, our evidence base, our risk register, and the security diligence that customers put us through before and during a contract. You will work directly with the Head of Security and across engineering, IT, legal, and sales. This is a program-ownership role with the autonomy and accountability that implies. You will not have a senior compliance function above you to defer to; you are that function.

In your first year, success looks like a complete and defensible evidence base with clean audit outcomes, a repeatable way to answer customer security diligence, and a risk register that leadership actually uses.

What You'll Do

What You'll Bring

Nice to Have

Why Anyscale

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.

 

Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

","descriptionPlain":"At Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI https://thenewstack.io/how-ray-a-distributed-ai-framework-helps-power-chatgpt/, Uber https://www.uber.com/blog/horovod-ray/, Spotify https://engineering.atspotify.com/2023/02/unleashing-ml-innovation-at-spotify-with-ray/, Instacart https://www.youtube.com/watch?v=3t26ucTy0Rs&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=23&pp=iAQB, Cruise https://www.youtube.com/watch?v=gj0BqvfX_wI&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=46&pp=iAQB, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.\n\nWith Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.\n\nProud to be backed by Andreessen Horowitz, NEA, and Addition https://www.wsj.com/articles/ai-startup-anyscale-adds-99-million-to-andressen-horowitz-led-funding-round-11661254200 with $250+ million raised to date.\n\n\n\n\nABOUT THE ROLE\n\nAnyscale's security and compliance needs are growing as we work with larger and more demanding customers. Compliance is increasingly a customer-facing, contractual function rather than an internal exercise, and we are looking for someone to own it.\n\nThis role owns that function end to end: our audits, our evidence base, our risk register, and the security diligence that customers put us through before and during a contract. You will work directly with the Head of Security and across engineering, IT, legal, and sales. This is a program-ownership role with the autonomy and accountability that implies. You will not have a senior compliance function above you to defer to; you are that function.\n\nIn your first year, success looks like a complete and defensible evidence base with clean audit outcomes, a repeatable way to answer customer security diligence, and a risk register that leadership actually uses.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own our SOC 2 Type II and ISO 27001 programs, and future frameworks as we take them on, including scope, evidence, control operation, and the relationship with our external auditors.\n\n - Own and complete the control evidence base in our compliance automation platform, moving controls from partially substantiated to audit-ready and keeping them there.\n\n - Lead security diligence for enterprise and regulated customers: security questionnaires, audit responses, right-to-audit requests, and the recurring reporting these customers require.\n\n - Own the risk register and mature risk management from a security-team activity into a recorded, enterprise-aligned program.\n\n - Coordinate the compliance obligations that come with customer contracts, including data protection, breach-notification timelines, and vendor and subprocessor assessments, in partnership with legal.\n\n - Assess and stand up new certifications as the customer pipeline requires them.\n\n - Partner with engineering and IT to make evidence collection a byproduct of how systems already run, rather than a manual scramble before each audit.\n\n\nWHAT YOU'LL BRING\n\n - 7+ years in governance, risk, and compliance, ideally including time at a high-growth startup.\n\n - Demonstrated ownership of SOC 2 and ISO 27001 programs, including running audits end to end with external auditors.\n\n - Experience fronting security diligence for enterprise or regulated customers. You have sat across from a customer's auditors or security reviewers and held your own.\n\n - Working fluency with compliance automation platforms (such as Vanta or equivalent) and with turning tooling into genuinely audit-ready evidence, not just dashboards.\n\n - A strong grasp of security controls and how they operate in a cloud and SaaS environment, enough to work credibly with engineers rather than only collecting their attestations.\n\n - The judgment and communication to run a program independently, coordinate across functions, and be trusted as the single owner of compliance.\n\n\nNICE TO HAVE\n\n - Experience with regulated-customer contractual security obligations: data protection agreements, breach notification, and right-to-audit provisions.\n\n - Exposure to newer or higher-bar frameworks (for example FedRAMP) and a sense of what standing them up would take.\n\n - Experience building a compliance function or team, since this role can grow into one as the company scales.\n\n - Familiarity with cloud infrastructure or AI or ML platforms.\n\n\nWHY ANYSCALE\n\n - We're on a mission to make scalable computing effortless. Ray is the AI Compute Engine at the center of some of the world's most powerful AI platforms\n\n - Our tech is in production at companies like OpenAI, Uber, Spotify, Instacart, and Cruise\n\n - We're backed by Andreessen Horowitz, NEA, and Addition, with $250M+ raised to date\n\n - Recent partnerships with Azure, CoreWeave, and Google Cloud are putting AI-native compute directly into enterprise environments\n\n - Competitive salary and equity, plus health/dental/vision coverage (many plans up to 99% employer-covered)\n\n - We offer flexible time off, paid parental leave, and mental health support\n\nAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.\n\n \n\nAnyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation https://drive.google.com/file/d/1Kt2S6_k_SjxaEdGowH4rngVdg2ApAQV3/view?usp=sharing and the Right to Work posters in English and Spanish https://drive.google.com/file/d/1K3Nz72xgsU2hngnVUEu53wEeZjbAMbnZ/view?usp=sharing"},{"id":"c7b78c30-5df7-4351-a136-f9e9f1486b19","title":"Engineering Manager, Platform Infrastructure (Foundations)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-07-27T21:52:53.548+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/anyscale/c7b78c30-5df7-4351-a136-f9e9f1486b19","applyUrl":"https://jobs.ashbyhq.com/anyscale/c7b78c30-5df7-4351-a136-f9e9f1486b19/application","descriptionHtml":"

Anyscale Platform Engineering Leader

About Anyscale:

At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.

With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.

Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.

About the role:

Anyscale is looking for an experienced Engineering leader to lead our Infrastructure, SRE and Enterprise Governance Engineering teams.

Anyscale aims to provide the next generation of tools and infrastructure to make developing and running distributed AI applications in the cloud using Ray - the popular open source platform used by companies like Netflix, Uber, Instacart and others - seamless.

We'd love to hear from you if you have:

Why Anyscale

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.

 

Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

","descriptionPlain":"ANYSCALE PLATFORM ENGINEERING LEADER\n\n\n\nAbout Anyscale:\n\nAt Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI https://thenewstack.io/how-ray-a-distributed-ai-framework-helps-power-chatgpt/, Uber https://www.uber.com/blog/horovod-ray/, Spotify https://engineering.atspotify.com/2023/02/unleashing-ml-innovation-at-spotify-with-ray/, Instacart https://www.youtube.com/watch?v=3t26ucTy0Rs&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=23&pp=iAQB, Cruise https://www.youtube.com/watch?v=gj0BqvfX_wI&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=46&pp=iAQB, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.\n\nWith Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.\n\nProud to be backed by Andreessen Horowitz, NEA, and Addition https://www.wsj.com/articles/ai-startup-anyscale-adds-99-million-to-andressen-horowitz-led-funding-round-11661254200 with $250+ million raised to date.\n\n\n\nAbout the role:\n\nAnyscale is looking for an experienced Engineering leader to lead our Infrastructure, SRE and Enterprise Governance Engineering teams.\n\nAnyscale aims to provide the next generation of tools and infrastructure to make developing and running distributed AI applications in the cloud using Ray - the popular open source platform used by companies like Netflix, Uber, Instacart and others - seamless.\n\n - In this position, you will guide the vision, technical direction of the team, and recruit, enable a high-performing engineering team that delivers critical values to developers and Anyscale customers by solving complex distributed systems challenges.\n\n - You will oversee and drive the strategy and execution of components which includes cluster launcher, cloud providers (AWS/GCP/Azure/etc.), Kubernetes support, cluster autoscaling, control plane, data plane, reliability, billing stack, production database and related components.\n\n - You will closely work with our customers and our field engineering team to solve their problems, understand their challenges and make sure they are successful.\n \n \n\nWe'd love to hear from you if you have:\n\n - Solid engineering management experience leading productive, building high-performing teams\n\n - Record of helping teams scale quickly while maintaining a good culture\n\n - Ability to ensure a high hiring bar, motivate team, coach/mentor, and handle performance management issues.\n\n - Deep technical knowledge and experience in distributed systems and prior experience working on kubernetes, VMs.\n\n - A great track record of execution\n\n - A sense of urgency, a mindset towards achieving results, and excellent prioritization skills\n\n - Effective communication\n\n\n\n\nWHY ANYSCALE\n\n - We're on a mission to make scalable computing effortless. Ray is the AI Compute Engine at the center of some of the world's most powerful AI platforms\n\n - Our tech is in production at companies like OpenAI, Uber, Spotify, Instacart, and Cruise\n\n - We're backed by Andreessen Horowitz, NEA, and Addition, with $250M+ raised to date\n\n - Recent partnerships with Azure, CoreWeave, and Google Cloud are putting AI-native compute directly into enterprise environments\n\n - Competitive salary and equity, plus health/dental/vision coverage (many plans up to 99% employer-covered)\n\n - We offer flexible time off, paid parental leave, and mental health support\n\nAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.\n\n \n\nAnyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation https://drive.google.com/file/d/1Kt2S6_k_SjxaEdGowH4rngVdg2ApAQV3/view?usp=sharing and the Right to Work posters in English and Spanish https://drive.google.com/file/d/1K3Nz72xgsU2hngnVUEu53wEeZjbAMbnZ/view?usp=sharing"},{"id":"63247d0f-5346-4f8e-a2d2-25baf5fd3c3a","title":"Senior Cloud Security Engineer","department":"Engineering","team":"323 Security","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-08-26T21:30:10.037+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":null,"jobUrl":"https://jobs.ashbyhq.com/anyscale/63247d0f-5346-4f8e-a2d2-25baf5fd3c3a","applyUrl":"https://jobs.ashbyhq.com/anyscale/63247d0f-5346-4f8e-a2d2-25baf5fd3c3a/application","descriptionHtml":"

Senior Cloud Security Engineer

At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.

With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.

Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.

About the Role

Anyscale's security needs are growing as we operate more production and cloud infrastructure for larger and more demanding customers. We're looking for a Senior Cloud Security Engineer to own the security of that infrastructure. This is a hands-on, high-ownership role: you will own how our production and cloud environments are hardened, isolated, and monitored.

You will set and drive the direction for infrastructure and production security, reporting to the Head of Security and partnering closely with the wider engineering organization. This role is based in the San Francisco, Bay Area.
In your first year, success looks like hardened and well-segmented production environments, strong runtime security coverage across our container footprint, and a clear, defensible story for how we secure the infrastructure our customers rely on.

What You'll Do

What You'll Bring

Nice to Have

Why Anyscale

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.

 

Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

","descriptionPlain":"SENIOR CLOUD SECURITY ENGINEER\n\nAt Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI https://thenewstack.io/how-ray-a-distributed-ai-framework-helps-power-chatgpt/, Uber https://www.uber.com/blog/horovod-ray/, Spotify https://engineering.atspotify.com/2023/02/unleashing-ml-innovation-at-spotify-with-ray/, Instacart https://www.youtube.com/watch?v=3t26ucTy0Rs&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=23&pp=iAQB, Cruise https://www.youtube.com/watch?v=gj0BqvfX_wI&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=46&pp=iAQB, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.\n\n\n\nWith Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.\n\n\n\nProud to be backed by Andreessen Horowitz, NEA, and Addition https://www.wsj.com/articles/ai-startup-anyscale-adds-99-million-to-andressen-horowitz-led-funding-round-11661254200 with $250+ million raised to date.\n\n\n\n\nABOUT THE ROLE\n\nAnyscale's security needs are growing as we operate more production and cloud infrastructure for larger and more demanding customers. We're looking for a Senior Cloud Security Engineer to own the security of that infrastructure. This is a hands-on, high-ownership role: you will own how our production and cloud environments are hardened, isolated, and monitored.\n\nYou will set and drive the direction for infrastructure and production security, reporting to the Head of Security and partnering closely with the wider engineering organization. This role is based in the San Francisco, Bay Area.\nIn your first year, success looks like hardened and well-segmented production environments, strong runtime security coverage across our container footprint, and a clear, defensible story for how we secure the infrastructure our customers rely on.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own the security posture of Anyscale's production and cloud infrastructure across AWS and Azure, including hardening, network segmentation, and tenant isolation.\n\n - Own runtime security coverage across our Kubernetes environments, from deployment through detection of anomalous activity.\n\n - Partner with engineering on secure infrastructure architecture and the secure design of our production environments.\n\n - Own cloud security posture management end to end: triage, prioritization, and driving remediation with the teams that own the resources.\n\n - Define and drive cloud infrastructure security standards: baseline configurations, infrastructure-as-code security, and key and secrets management.\n\n - Drive fine-grained, role-based access to production, in partnership with engineering and IT.\n\n - Feed infrastructure findings into vulnerability management and risk reporting.\n\n\n\n\nWHAT YOU'LL BRING\n\n - 8+ years in security engineering, with a deep focus on cloud and infrastructure security, ideally at a high-growth startup.\n\n - Hands-on expertise securing multi-cloud environments (AWS and Azure) and container platforms (Kubernetes).\n\n - Strong grounding in infrastructure-as-code, cloud networking, and identity and access in cloud environments.\n\n - Experience with CSPM and runtime security tooling, and the judgment to turn findings into prioritized, actioned work.\n\n - The ability to own cloud infrastructure security independently, set its direction, and make sound tradeoffs across teams.\n\n - Fluency working directly with engineers on architecture and remediation, not just producing findings.\n\n\n\n\nNICE TO HAVE\n\n - Experience securing multi-tenant production systems or environments that run customer workloads.\n\n - Familiarity with Upwind or similar CSPM and runtime platforms.\n\n - Experience contributing to SOC 2 or ISO 27001 evidence from the infrastructure side.\n\n - Background in AI or ML platforms or distributed systems.\n\n\nWHY ANYSCALE\n\n - We're on a mission to make scalable computing effortless. Ray is the AI Compute Engine at the center of some of the world's most powerful AI platforms\n\n - Our tech is in production at companies like OpenAI, Uber, Spotify, Instacart, and Cruise\n\n - We're backed by Andreessen Horowitz, NEA, and Addition, with $250M+ raised to date\n\n - Recent partnerships with Azure, CoreWeave, and Google Cloud are putting AI-native compute directly into enterprise environments\n\n - Competitive salary and equity, plus health/dental/vision coverage (many plans up to 99% employer-covered)\n\n - We offer flexible time off, paid parental leave, and mental health support\n\nAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.\n\n \n\nAnyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation https://drive.google.com/file/d/1Kt2S6_k_SjxaEdGowH4rngVdg2ApAQV3/view?usp=sharing and the Right to Work posters in English and Spanish https://drive.google.com/file/d/1K3Nz72xgsU2hngnVUEu53wEeZjbAMbnZ/view?usp=sharing"},{"id":"4b05512e-a730-422f-aa70-e4b4d2e6a5a0","title":"Senior Detection and Response Engineer","department":"Engineering","team":"323 Security","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-08-26T21:54:11.539+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/anyscale/4b05512e-a730-422f-aa70-e4b4d2e6a5a0","applyUrl":"https://jobs.ashbyhq.com/anyscale/4b05512e-a730-422f-aa70-e4b4d2e6a5a0/application","descriptionHtml":"

At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.

With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.

Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.

About the Role

Anyscale's need to detect and respond to security events across its production and corporate environments is growing as the company scales. We're looking for a Senior Detection and Response Engineer to own detection engineering and to lead incident response when it counts, coordinating the response and driving it to resolution.

This is a high-ownership role with real room to shape how detection and response works at Anyscale. You will own the detection pipeline, the response runbooks, and incident response, reporting to the Head of Security and partnering with engineering. This role is based in India.

In your first year, success looks like strong detection coverage across our cloud, endpoint, and runtime telemetry, a working correlation and alerting pipeline, and incident response runbooks that have been exercised in practice.

What You'll Do

What You'll Bring

Nice to Have

Why Anyscale

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.

 

Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

","descriptionPlain":"At Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI https://thenewstack.io/how-ray-a-distributed-ai-framework-helps-power-chatgpt/, Uber https://www.uber.com/blog/horovod-ray/, Spotify https://engineering.atspotify.com/2023/02/unleashing-ml-innovation-at-spotify-with-ray/, Instacart https://www.youtube.com/watch?v=3t26ucTy0Rs&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=23&pp=iAQB, Cruise https://www.youtube.com/watch?v=gj0BqvfX_wI&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=46&pp=iAQB, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.\n\nWith Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.\n\nProud to be backed by Andreessen Horowitz, NEA, and Addition https://www.wsj.com/articles/ai-startup-anyscale-adds-99-million-to-andressen-horowitz-led-funding-round-11661254200 with $250+ million raised to date.\n\n\n\n\nABOUT THE ROLE\n\nAnyscale's need to detect and respond to security events across its production and corporate environments is growing as the company scales. We're looking for a Senior Detection and Response Engineer to own detection engineering and to lead incident response when it counts, coordinating the response and driving it to resolution.\n\nThis is a high-ownership role with real room to shape how detection and response works at Anyscale. You will own the detection pipeline, the response runbooks, and incident response, reporting to the Head of Security and partnering with engineering. This role is based in India.\n\nIn your first year, success looks like strong detection coverage across our cloud, endpoint, and runtime telemetry, a working correlation and alerting pipeline, and incident response runbooks that have been exercised in practice.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own and build detection coverage across cloud, endpoint, and runtime telemetry.\n\n - Own a centralized correlation and alerting capability that turns telemetry into actionable detections.\n\n - Own incident response: runbooks, escalation paths, and coordination during an incident, across corporate and production environments.\n\n - Drive detection of anomalous activity across the environments we run, including our Kubernetes footprint.\n\n - Tune detections to keep signal high and noise low, and measure detection and response performance such as mean time to detect and respond.\n\n - Run incident retrospectives and feed lessons back into detections and controls.\n\n - Partner with infrastructure security and IT to close gaps surfaced during response.\n\n\n\n\nWHAT YOU'LL BRING\n\n - 6+ years in security, with a strong focus on detection engineering and incident response, ideally at a high-growth startup.\n\n - Hands-on experience building detections and correlation across cloud (AWS, Azure), endpoint (EDR), and ideally container and runtime telemetry.\n\n - Experience owning incident response end to end, including leading during live incidents.\n\n - Comfort building and scaling a detection and response capability, not only operating an existing one.\n\n - Sound judgment under pressure and clear communication during incidents.\n\n - Fluency working with engineers and IT to close the gaps that response surfaces.\n\n\n\n\nNICE TO HAVE\n\n - Experience with SIEM or detection platforms and detection-as-code approaches.\n\n - Familiarity with runtime security tooling such as Upwind or similar.\n\n - Threat hunting or purple-team experience.\n\n - Background in AI or ML platforms or distributed systems.\n\n\nWHY ANYSCALE\n\n - We're on a mission to make scalable computing effortless. Ray is the AI Compute Engine at the center of some of the world's most powerful AI platforms\n\n - Our tech is in production at companies like OpenAI, Uber, Spotify, Instacart, and Cruise\n\n - We're backed by Andreessen Horowitz, NEA, and Addition, with $250M+ raised to date\n\n - Recent partnerships with Azure, CoreWeave, and Google Cloud are putting AI-native compute directly into enterprise environments\n\n - Competitive salary and equity, plus health/dental/vision coverage (many plans up to 99% employer-covered)\n\n - We offer flexible time off, paid parental leave, and mental health support\n\nAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.\n\n \n\nAnyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation https://drive.google.com/file/d/1Kt2S6_k_SjxaEdGowH4rngVdg2ApAQV3/view?usp=sharing and the Right to Work posters in English and Spanish https://drive.google.com/file/d/1K3Nz72xgsU2hngnVUEu53wEeZjbAMbnZ/view?usp=sharing"},{"id":"01aef589-e268-4b22-b513-d1f9f076210f","title":"Software Engineer (Ray Data)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-08-28T17:01:06.395+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/anyscale/01aef589-e268-4b22-b513-d1f9f076210f","applyUrl":"https://jobs.ashbyhq.com/anyscale/01aef589-e268-4b22-b513-d1f9f076210f/application","descriptionHtml":"

About Anyscale:

At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.

With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.

Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.

About Ray Data Team:

Ray Data is Python-native data processing engine that is a one stop shop for all AI data processing needs. Ray Data provides performant, first-class integration with cutting edge AI frameworks using both multi-modal and structured data.

The Ray Data team currently develops and maintains Ray Data. We are a team of engineers passionate about building a Data processing engine which is a one-stop shop for all of your ML/AI needs. We are looking for exceptional engineers to build, optimize, and scale Ray for modern and increasingly complex AI workloads.

As part of this role, you will:

We'd love to hear from you if have:

 

Why Anyscale

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. 

Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

","descriptionPlain":"About Anyscale:\n\nAt Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI https://thenewstack.io/how-ray-a-distributed-ai-framework-helps-power-chatgpt/, Uber https://www.uber.com/blog/horovod-ray/, Spotify https://engineering.atspotify.com/2023/02/unleashing-ml-innovation-at-spotify-with-ray/, Instacart https://www.youtube.com/watch?v=3t26ucTy0Rs&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=23&pp=iAQB, Cruise https://www.youtube.com/watch?v=gj0BqvfX_wI&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=46&pp=iAQB, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.\n\n\n\nWith Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.\n\n\n\nProud to be backed by Andreessen Horowitz, NEA, and Addition https://www.wsj.com/articles/ai-startup-anyscale-adds-99-million-to-andressen-horowitz-led-funding-round-11661254200 with $250+ million raised to date.\n\n\n\nAbout Ray Data Team:\n\nRay Data https://docs.ray.io/en/latest/data/data.html is Python-native data processing engine that is a one stop shop for all AI data processing needs. Ray Data provides performant, first-class integration with cutting edge AI frameworks using both multi-modal and structured data.\n\n\n\nThe Ray Data team currently develops and maintains Ray Data https://docs.ray.io/en/latest/data/data.html. We are a team of engineers passionate about building a Data processing engine which is a one-stop shop for all of your ML/AI needs. We are looking for exceptional engineers to build, optimize, and scale Ray for modern and increasingly complex AI workloads.\n\n\n\nAs part of this role, you will:\n\n - Improve the performance of Ray Data https://docs.ray.io/en/latest/data/data.html and multi-modal batch inference use cases.\n\n - Ensure efficient scaling across different stages of the Data pipeline in a heterogeneous environment.\n\n - Building data loading solutions for production training workloads.\n\n - Focus on stability and fault tolerance at high scale\n\n - Working with customers and new age AI native companies in scaling their AI workloads.\n\n\n\nWe'd love to hear from you if have:\n\n - At least 3-4 years of relevant work experience\n\n - Solid background in building scalable and fault-tolerant distributed systems\n\n - Experience with data processing, database internals.\n\n - Passionate about large scale systems and performance for AI.\n\n \n\n\nWHY ANYSCALE\n\n - We're on a mission to make scalable computing effortless. Ray is the AI Compute Engine at the center of some of the world's most powerful AI platforms\n\n - Our tech is in production at companies like OpenAI, Uber, Spotify, Instacart, and Cruise\n\n - We're backed by Andreessen Horowitz, NEA, and Addition, with $250M+ raised to date\n\n - Recent partnerships with Azure, CoreWeave, and Google Cloud are putting AI-native compute directly into enterprise environments\n\n - Competitive salary and equity, plus health/dental/vision coverage (many plans up to 99% employer-covered)\n\n - We offer flexible time off, paid parental leave, and mental health support\n\nAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. \n\n\n\nAnyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation https://drive.google.com/file/d/1Kt2S6_k_SjxaEdGowH4rngVdg2ApAQV3/view?usp=sharing and the Right to Work posters in English and Spanish https://drive.google.com/file/d/1K3Nz72xgsU2hngnVUEu53wEeZjbAMbnZ/view?usp=sharing\n\n"},{"id":"81c3c26a-71e3-4c4c-a88e-88c538a169be","title":"Software Engineer, ML Developer Experience","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-08-26T22:16:41.798+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":null,"jobUrl":"https://jobs.ashbyhq.com/anyscale/81c3c26a-71e3-4c4c-a88e-88c538a169be","applyUrl":"https://jobs.ashbyhq.com/anyscale/81c3c26a-71e3-4c4c-a88e-88c538a169be/application","descriptionHtml":"

About Anyscale:

At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We're commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.

With Anyscale, we're building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.

Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.


About the role

Anyscale is looking for a Software Engineer to join the ML Developer Experience (MLDevX) team. MLDevX owns the experience layer of the Anyscale platform: the interfaces through which users and coding agents discover, configure, run, observe, debug, and productionize AI workloads. Every user journey crosses this layer through the CLI, SDKs, APIs, UI, Workspaces, MCP, or the workflows and integrations built on top of them. Together, these form the user’s primary interface into Anyscale, turning distributed computing from a systems problem back into a coding problem. We build the common contracts, tools, control-plane services, and architecture that power these surfaces.

You will work across the stack from developer tooling to cloud infrastructure and the Ray runtime. Manage long-running operations and make failures across jobs, tasks, actors, nodes, and GPUs easier to diagnose. The systems you build must scale with the platform, remain predictable through failures, and be intuitive for developers, programmable for applications, and operable by coding agents.

This is a high impact individual-contributor role with end-to-end ownership. You will work directly with users and field teams to identify high leverage problems, shape the product and technical design, and build and operate the solution. The scope spans the AI workload loop - data preparation, fine-tuning and post-training, serving, evaluation, and iteration as well as the developer loop: code, submit, monitor, debug, optimize, and re-submit. We are looking for someone with strong product judgment, a willingness to understand the user base, and the technical depth to build high quality software for everyone from a developer learning Ray for the first time to an AI-native company or enterprise running production workloads at scale.

A snapshot of projects you may work on

We'd love to hear from you if you have

Bonus points if you have

 

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.

 

Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.

","descriptionPlain":"About Anyscale:\n\n\n\nAt Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We're commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI https://thenewstack.io/how-ray-a-distributed-ai-framework-helps-power-chatgpt/, Uber https://www.uber.com/blog/horovod-ray/, Spotify https://engineering.atspotify.com/2023/02/unleashing-ml-innovation-at-spotify-with-ray/, Instacart https://www.youtube.com/watch?v=3t26ucTy0Rs, Cruise https://www.youtube.com/watch?v=gj0BqvfX_wI, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.\n\n\n\nWith Anyscale, we're building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.\n\n\n\nProud to be backed by Andreessen Horowitz, NEA, and Addition https://www.wsj.com/articles/ai-startup-anyscale-adds-99-million-to-andressen-horowitz-led-funding-round-11661254200 with $250+ million raised to date.\n\n\nAbout the role\n\n\n\nAnyscale is looking for a Software Engineer to join the ML Developer Experience (MLDevX) team. MLDevX owns the experience layer of the Anyscale platform: the interfaces through which users and coding agents discover, configure, run, observe, debug, and productionize AI workloads. Every user journey crosses this layer through the CLI, SDKs, APIs, UI, Workspaces, MCP, or the workflows and integrations built on top of them. Together, these form the user’s primary interface into Anyscale, turning distributed computing from a systems problem back into a coding problem. We build the common contracts, tools, control-plane services, and architecture that power these surfaces.\n\n\n\nYou will work across the stack from developer tooling to cloud infrastructure and the Ray runtime. Manage long-running operations and make failures across jobs, tasks, actors, nodes, and GPUs easier to diagnose. The systems you build must scale with the platform, remain predictable through failures, and be intuitive for developers, programmable for applications, and operable by coding agents.\n\n\n\nThis is a high impact individual-contributor role with end-to-end ownership. You will work directly with users and field teams to identify high leverage problems, shape the product and technical design, and build and operate the solution. The scope spans the AI workload loop - data preparation, fine-tuning and post-training, serving, evaluation, and iteration as well as the developer loop: code, submit, monitor, debug, optimize, and re-submit. We are looking for someone with strong product judgment, a willingness to understand the user base, and the technical depth to build high quality software for everyone from a developer learning Ray for the first time to an AI-native company or enterprise running production workloads at scale.\n\n\n\n\nA SNAPSHOT OF PROJECTS YOU MAY WORK ON\n\n\n\n - Build the next generation of developer tooling and MLOps capabilities on Ray, designed for both developers and coding agents.\n\n - Develop an agent-first CLI and cohesive SDK, API, and MCP surfaces with self-discovery, structured errors, dry-run support, and consistent behavior across platform resources.\n\n - Work across the Anyscale Workspaces stack to improve the path from local code to distributed execution, including environments, dependencies, images, authentication, workload submission, and debugging.\n\n - Build cohesive experience, tools and frameworks for the AI development lifecycle, including data preparation, fine-tuning and post-training, evaluation, production serving, dataset management, experiment tracking, and lineage.\n\n - Build the path from a trained model to a reliable production endpoint, including model registration, deployment workflows, performance benchmarking, and LLM-specific service metrics.\n\n - Surface observability across the CLI, SDK, UI, and agent-facing interfaces so users can diagnose failures across jobs, tasks, actors, nodes, and GPUs.\n\n - Design open integrations using durable standards such as OpenAI-compatible APIs and OpenTelemetry, along with stable Jobs and Services interfaces for external orchestrators.\n\n - Design and operate the highly available backend services and platform architecture that power these capabilities across serverless and bring-your-own-cloud environments.\n\n - Work closely with users and field teams to scope, ship, and iterate on the product, and collaborate with distributed systems and machine learning experts to push the boundaries of AI infrastructure.\n \n \n\n\nWE'D LOVE TO HEAR FROM YOU IF YOU HAVE\n\n\n\n - Bachelor's degree in Computer Science, Engineering, or equivalent practical experience\n\n - 5+ years of experience writing high-quality production code\n\n - A solid background in algorithms, data structures, and system design\n\n - Experience working with modern machine learning tooling — PyTorch, MLflow, data catalogs, and similar\n\n - Hands-on experience building and operating highly available services in production\n\n - Strong product instincts and a track record of shipping developer-facing tools that people choose to use\n\n\n\n\nBONUS POINTS IF YOU HAVE\n\n\n\n - Experience building and maintaining open-source projects\n\n - Experience building and operating machine learning infrastructure in production\n\n - Experience building highly available serving systems\n\n - Experience using Ray\n\n \n\nAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.\n\n \n\nAnyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation https://drive.google.com/file/d/1Kt2S6_k_SjxaEdGowH4rngVdg2ApAQV3/view?usp=sharing and the Right to Work posters in English and Spanish https://drive.google.com/file/d/1K3Nz72xgsU2hngnVUEu53wEeZjbAMbnZ/view?usp=sharing."},{"id":"d92a68e9-c2cc-452f-afbc-ae1bde5080b7","title":"IT Specialist","department":"General & Administrative","team":"740 IT","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-08-28T16:58:28.152+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/anyscale/d92a68e9-c2cc-452f-afbc-ae1bde5080b7","applyUrl":"https://jobs.ashbyhq.com/anyscale/d92a68e9-c2cc-452f-afbc-ae1bde5080b7/application","descriptionHtml":"

At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.

With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.

Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.

About the Role

Anyscale runs on a small, high-leverage IT function, and we're looking for an IT Engineer to own it. This is a hands-on engineering role, not a help desk or tier-1 support role. Roughly half the job is software: you will own and extend a set of internal automation and notification services wired into our directory and hardware systems. You should be comfortable owning a codebase and a GitHub repository, not only vendor admin consoles.

The other half is the identity, endpoint, hardware, and vendor backbone that keeps a company of roughly 200 people, close to half of them engineers, productive across three public clouds. Reporting to the Head of Security and IT, you will work closely with security, engineering, and the people team. This role is based in the San Francisco Bay Area on a hybrid schedule.

What You'll Do

What You'll Bring

Nice to Have

Compensation

We believe in transparent pay practices. The anticipated base salary range for this role is $171,000 - $191,000. Final salary depends on experience, relevant skills, qualifications, and market considerations. In addition to base pay, eligible employees receive equity awards and enjoy a comprehensive benefits package designed to support their health, well-being, and financial future.

Why Anyscale

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.

 

Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

","descriptionPlain":"At Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI https://thenewstack.io/how-ray-a-distributed-ai-framework-helps-power-chatgpt/, Uber https://www.uber.com/blog/horovod-ray/, Spotify https://engineering.atspotify.com/2023/02/unleashing-ml-innovation-at-spotify-with-ray/, Instacart https://www.youtube.com/watch?v=3t26ucTy0Rs&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=23&pp=iAQB, Cruise https://www.youtube.com/watch?v=gj0BqvfX_wI&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=46&pp=iAQB, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.\n\nWith Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.\n\nProud to be backed by Andreessen Horowitz, NEA, and Addition https://www.wsj.com/articles/ai-startup-anyscale-adds-99-million-to-andressen-horowitz-led-funding-round-11661254200 with $250+ million raised to date.\n\n\n\n\nABOUT THE ROLE\n\nAnyscale runs on a small, high-leverage IT function, and we're looking for an IT Engineer to own it. This is a hands-on engineering role, not a help desk or tier-1 support role. Roughly half the job is software: you will own and extend a set of internal automation and notification services wired into our directory and hardware systems. You should be comfortable owning a codebase and a GitHub repository, not only vendor admin consoles.\n\nThe other half is the identity, endpoint, hardware, and vendor backbone that keeps a company of roughly 200 people, close to half of them engineers, productive across three public clouds. Reporting to the Head of Security and IT, you will work closely with security, engineering, and the people team. This role is based in the San Francisco Bay Area on a hybrid schedule.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own identity and access: Okta and Google Workspace administration, group-based authorization, 1Password Enterprise, passkeys, and automation driven provisioning and deprovisioning.\n\n - Own and extend our internal automation services, and run them on scoped service accounts with sound security and hygiene.\n\n - Own the endpoint fleet through mobile device management, including device trust posture checks, endpoint detection and response and other security and collaboration stack.\n\n - Run hardware logistics end to end: procurement, global and international shipping through a managed provider, an inventory buffer, and returns and recycling.\n\n - Own vendor management: a SaaS service catalog with owners and renewal dates, purchase request intake, and driving renewals to a decision.\n\n - Help the team with audit evidence collection as well as designing controls that are helping us ace internal and external audits.\n\n - Support conference room and office technology.\n\n\n\n\nWHAT YOU'LL BRING\n\n - Strong hands-on experience administering Okta and Google Workspace.\n\n - Experience managing a macOS fleet through mobile device management, including device trust and endpoint security tooling.\n\n - Experience with identity lifecycle automation driven off an HRIS.\n\n - A track record owning IT hardware logistics, vendor renewals, and SaaS management.\n\n - Familiarity with audit evidence production and the discipline it requires.\n\n - A high-ownership, automate-first mindset: you reach for code and process before headcount, and you are comfortable being accountable for IT end to end.\n\n\n\n\nNICE TO HAVE\n\n - Experience in a high-growth startup where IT is a small, high-leverage function.\n\n - Exposure to multi-cloud environments.\n\n - Comfort with infrastructure-as-code.\n\n - Experience running internal tooling on scoped service accounts rather than individual credentials.\n\n - Background supporting a largely engineering workforce.\n\n - Experience with AI providers on access, billing and spending limits.\n\n\n\n\nCOMPENSATION\n\nWe believe in transparent pay practices. The anticipated base salary range for this role is $171,000 - $191,000. Final salary depends on experience, relevant skills, qualifications, and market considerations. In addition to base pay, eligible employees receive equity awards and enjoy a comprehensive benefits package designed to support their health, well-being, and financial future.\n\n\n\n\nWHY ANYSCALE\n\n - We're on a mission to make scalable computing effortless. Ray is the AI Compute Engine at the center of some of the world's most powerful AI platforms\n\n - Our tech is in production at companies like OpenAI, Uber, Spotify, Instacart, and Cruise\n\n - We're backed by Andreessen Horowitz, NEA, and Addition, with $250M+ raised to date\n\n - Recent partnerships with Azure, CoreWeave, and Google Cloud are putting AI-native compute directly into enterprise environments\n\n - Competitive salary and equity, plus health/dental/vision coverage (many plans up to 99% employer-covered)\n\n - We offer flexible time off, paid parental leave, and mental health support\n\nAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.\n\n \n\nAnyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation https://drive.google.com/file/d/1Kt2S6_k_SjxaEdGowH4rngVdg2ApAQV3/view?usp=sharing and the Right to Work posters in English and Spanish https://drive.google.com/file/d/1K3Nz72xgsU2hngnVUEu53wEeZjbAMbnZ/view?usp=sharing"},{"id":"81809616-ef2f-44f8-bcee-d1e17749f45d","title":"Software Engineer (Ray Core)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-09-03T21:14:22.858+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/anyscale/81809616-ef2f-44f8-bcee-d1e17749f45d","applyUrl":"https://jobs.ashbyhq.com/anyscale/81809616-ef2f-44f8-bcee-d1e17749f45d/application","descriptionHtml":"

About Anyscale:

At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.

With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.

Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.

About the role

Ray aims to provide a universal API for building distributed applications. To achieve this goal requires a distributed system with high levels of performance and reliability. We're looking for engineers with systems software experience that are interested in contributing to the Ray backend.


About the Ray Core Team

The Ray Core team develops and maintains the Ray C++ backend (e.g., distributed scheduler, language runtime integration, I/O and memory subsystems). We are responsible for the reliability, scalability, and performance of Ray as well as ensuring that Ray provides the right feature set to support higher level libraries and use cases. The team works on a balance of new features / distributed libraries, test infra improvements, debugging, and longer-term architectural improvements to Ray.

A snapshot of projects you can work on:

As part of this role, you will:

We'd love to hear from you if you have:

Why Anyscale

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.

 

Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

","descriptionPlain":"About Anyscale:\n\nAt Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI https://thenewstack.io/how-ray-a-distributed-ai-framework-helps-power-chatgpt/, Uber https://www.uber.com/blog/horovod-ray/, Spotify https://engineering.atspotify.com/2023/02/unleashing-ml-innovation-at-spotify-with-ray/, Instacart https://www.youtube.com/watch?v=3t26ucTy0Rs&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=23&pp=iAQB, Cruise https://www.youtube.com/watch?v=gj0BqvfX_wI&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=46&pp=iAQB, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.\n\n\nWith Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.\n\n\nProud to be backed by Andreessen Horowitz, NEA, and Addition https://www.wsj.com/articles/ai-startup-anyscale-adds-99-million-to-andressen-horowitz-led-funding-round-11661254200 with $250+ million raised to date.\n\n\n\nAbout the role\n\nRay aims to provide a universal API for building distributed applications. To achieve this goal requires a distributed system with high levels of performance and reliability. We're looking for engineers with systems software experience that are interested in contributing to the Ray backend.\n\n\n\n\nAbout the Ray Core Team\n\nThe Ray Core team develops and maintains the Ray C++ backend (e.g., distributed scheduler, language runtime integration, I/O and memory subsystems). We are responsible for the reliability, scalability, and performance of Ray as well as ensuring that Ray provides the right feature set to support higher level libraries and use cases. The team works on a balance of new features / distributed libraries, test infra improvements, debugging, and longer-term architectural improvements to Ray.\n\n\n\nA snapshot of projects you can work on:\n\n - Optimizing performance of large-scale workloads on Ray\n\n - Stability and stress testing infrastructure\n\n - Improving fault tolerance (HA)\n\n\n\nAs part of this role, you will:\n\n - Leading cross-team projects while mentoring junior team members\n\n - Develop high quality open source software to simplify distributed programming (Ray)\n\n - Identify, implement, and evaluate architectural improvements to Ray core\n\n - Improve the testing process for Ray to make releases as smooth as possible\n\n - Communicate your work to a broader audience through talks, tutorials, and blog posts\n\n\n\n\n\nWe'd love to hear from you if you have:\n\n - At least 5 year of relevant work experience\n\n - Experience in building scalable and fault-tolerant distributed systems\n\n - Extensive experience working in C/C++ and on low level operating systems\n\n - Solid background in algorithms, data structures, system design\n\n - Knowledge of distributed model training and inference (e.g. tensor parallel, pipeline parallel) is preferred\n\n - Knowledge of GPU programming is preferred\n\n\nWHY ANYSCALE\n\n - We're on a mission to make scalable computing effortless. Ray is the AI Compute Engine at the center of some of the world's most powerful AI platforms\n\n - Our tech is in production at companies like OpenAI, Uber, Spotify, Instacart, and Cruise\n\n - We're backed by Andreessen Horowitz, NEA, and Addition, with $250M+ raised to date\n\n - Recent partnerships with Azure, CoreWeave, and Google Cloud are putting AI-native compute directly into enterprise environments\n\n - Competitive salary and equity, plus health/dental/vision coverage (many plans up to 99% employer-covered)\n\n - We offer flexible time off, paid parental leave, and mental health support\n\nAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.\n\n \n\nAnyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation https://drive.google.com/file/d/1Kt2S6_k_SjxaEdGowH4rngVdg2ApAQV3/view?usp=sharing and the Right to Work posters in English and Spanish https://drive.google.com/file/d/1K3Nz72xgsU2hngnVUEu53wEeZjbAMbnZ/view?usp=sharing"},{"id":"5104d34f-d58a-4165-bb30-9a96c8ff311c","title":"Staff Software Engineer, Ray Data","department":"Engineering","team":"331 Data","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-09-09T17:47:51.774+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/anyscale/5104d34f-d58a-4165-bb30-9a96c8ff311c","applyUrl":"https://jobs.ashbyhq.com/anyscale/5104d34f-d58a-4165-bb30-9a96c8ff311c/application","descriptionHtml":"

About Anyscale:

At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.

 

With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.

 

Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.

About Ray Data Team:

Ray Data is a Python-native data processing engine and a one-stop shop for all AI data processing needs. Ray Data provides performant, first-class integration with cutting-edge AI frameworks using both multimodal and structured data.

The Ray Data team develops and maintains Ray Data, building the underlying distributed data processing infrastructure that powers modern AI workloads. We are a team of engineers passionate about solving challenging problems in distributed systems, data processing, and performance at scale. We are looking for exceptional engineers to build, optimize, and scale Ray Data for increasingly complex AI workloads, including multimodal data processing and large-scale batch inference.

Learn more about how Ray Data enables scalable multimodal AI workloads in Architecting Multimodal Data Pipelines That Scale with Ray.

As part of this role, you will:

We'd love to hear from you if you have:

Why Anyscale

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.

 

Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

","descriptionPlain":"About Anyscale:\n\nAt Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI https://thenewstack.io/how-ray-a-distributed-ai-framework-helps-power-chatgpt/, Uber https://www.uber.com/blog/horovod-ray/, Spotify https://engineering.atspotify.com/2023/02/unleashing-ml-innovation-at-spotify-with-ray/, Instacart https://www.youtube.com/watch?v=3t26ucTy0Rs&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=23&pp=iAQB, Cruise https://www.youtube.com/watch?v=gj0BqvfX_wI&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=46&pp=iAQB, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.\n\n \n\nWith Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.\n\n \n\nProud to be backed by Andreessen Horowitz, NEA, and Addition https://www.wsj.com/articles/ai-startup-anyscale-adds-99-million-to-andressen-horowitz-led-funding-round-11661254200 with $250+ million raised to date.\n\n\n\nAbout Ray Data Team:\n\nRay Data https://docs.ray.io/en/latest/data/data.html is a Python-native data processing engine and a one-stop shop for all AI data processing needs. Ray Data provides performant, first-class integration with cutting-edge AI frameworks using both multimodal and structured data.\n\nThe Ray Data team develops and maintains Ray Data https://docs.ray.io/en/latest/data/data.html, building the underlying distributed data processing infrastructure that powers modern AI workloads. We are a team of engineers passionate about solving challenging problems in distributed systems, data processing, and performance at scale. We are looking for exceptional engineers to build, optimize, and scale Ray Data for increasingly complex AI workloads, including multimodal data processing and large-scale batch inference.\n\nLearn more about how Ray Data enables scalable multimodal AI workloads in Architecting Multimodal Data Pipelines That Scale with Ray https://www.anyscale.com/blog/architecting-multimodal-data-pipelines-that-scale-with-ray.\n\n\n\nAs part of this role, you will:\n\n - Design, build, and improve the core systems that power Ray Data https://docs.ray.io/en/latest/data/data.html, with a focus on performance, scalability, and reliability.\n\n - Design and optimize distributed execution across different stages of data pipelines in heterogeneous environments.\n\n - Build data loading and processing solutions for production training and inference workloads.\n\n - Solve challenging problems in distributed execution, scheduling, resource management, data partitioning, fault tolerance, and performance optimization.\n\n - Make system-level architectural decisions and reason through tradeoffs in areas such as resource allocation, execution models, batch vs. streaming workloads, and consistency and availability.\n\n - Work with customers and new-age AI-native companies to understand and solve challenges in scaling their AI workloads.\n\n\n\nWe'd love to hear from you if you have:\n\n - 6+ years of experience building production-grade software, infrastructure, or developer-facing systems, with strong Python engineering experience.\n\n - 6+ years of experience personally owning core architectural decisions within a distributed data or compute engine, rather than primarily operating or using a platform someone else designed.\n\n - Deep experience with distributed systems internals, such as scheduling, fault tolerance, data partitioning, distributed execution, performance optimization, or database and query engine internals.\n\n - A track record of reasoning through system-level tradeoffs and defending architectural decisions, such as batch vs. streaming, static vs. dynamic resource allocation, or consistency vs. availability.\n\n - Passion for solving the unsolved problems in large-scale AI infrastructure and building systems that enable the next generation of AI applications.\n\n\nWHY ANYSCALE\n\n - We're on a mission to make scalable computing effortless. Ray is the AI Compute Engine at the center of some of the world's most powerful AI platforms\n\n - Our tech is in production at companies like OpenAI, Uber, Spotify, Instacart, and Cruise\n\n - We're backed by Andreessen Horowitz, NEA, and Addition, with $250M+ raised to date\n\n - Recent partnerships with Azure, CoreWeave, and Google Cloud are putting AI-native compute directly into enterprise environments\n\n - Competitive salary and equity, plus health/dental/vision coverage (many plans up to 99% employer-covered)\n\n - We offer flexible time off, paid parental leave, and mental health support\n\nAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.\n\n \n\nAnyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation https://drive.google.com/file/d/1Kt2S6_k_SjxaEdGowH4rngVdg2ApAQV3/view?usp=sharing and the Right to Work posters in English and Spanish https://drive.google.com/file/d/1K3Nz72xgsU2hngnVUEu53wEeZjbAMbnZ/view?usp=sharing"},{"id":"5f4d4f60-e8b8-4e03-a709-0117b3e7d48e","title":"Staff Software Engineer, Ray Core","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-09-17T00:44:58.989+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":null,"jobUrl":"https://jobs.ashbyhq.com/anyscale/5f4d4f60-e8b8-4e03-a709-0117b3e7d48e","applyUrl":"https://jobs.ashbyhq.com/anyscale/5f4d4f60-e8b8-4e03-a709-0117b3e7d48e/application","descriptionHtml":"

About Anyscale:

At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.

With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.

Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.

What you'll do

What we're looking for

Why Anyscale

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.

","descriptionPlain":"ABOUT ANYSCALE:\n\nAt Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI https://thenewstack.io/how-ray-a-distributed-ai-framework-helps-power-chatgpt/, Uber https://www.uber.com/blog/horovod-ray/, Spotify https://engineering.atspotify.com/2023/02/unleashing-ml-innovation-at-spotify-with-ray/, Instacart https://www.youtube.com/watch?v=3t26ucTy0Rs&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=23&pp=iAQB, Cruise https://www.youtube.com/watch?v=gj0BqvfX_wI&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=46&pp=iAQB, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.\n\nWith Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.\n\nProud to be backed by Andreessen Horowitz, NEA, and Addition https://www.wsj.com/articles/ai-startup-anyscale-adds-99-million-to-andressen-horowitz-led-funding-round-11661254200 with $250+ million raised to date.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own a major technical area of Ray Core end to end, defining the roadmap, identifying the most important technical problems, and driving execution through production.\n\n - Lead large, technically complex projects spanning multiple engineers, teams, and/or organizations.\n\n - Set technical direction and make architectural decisions for distributed computing infrastructure used by demanding production workloads.\n\n - Design, build, and evolve core distributed-systems primitives rather than simply integrating existing platforms or frameworks.\n\n - Work on problems involving areas such as distributed execution, scheduling, resource management, fault tolerance, concurrency, networking, storage, or system performance.\n\n - Stay hands-on with implementation and debugging in a systems-oriented codebase, while raising the technical bar for the engineers around you.\n\n - Help shape the longer-term architecture and evolution of Ray Core as our workloads and scale continue to grow.\n\n\nWHAT WE'RE LOOKING FOR\n\n - 6+ years of software engineering experience, with a track record of increasing technical ownership.\n\n - Experience leading substantial projects end to end, including defining the problem, creating a roadmap, making architectural decisions, driving implementation, and owning the outcome in production.\n\n - Experience leading projects that are larger than a single-engineer effort, typically spanning multiple engineers and lasting multiple quarters.\n\n - Deep experience with distributed systems and computer systems.\n\n - Strong systems programming experience in languages such as C++, Rust, Java, or similar lower-level languages.\n\n - Strong understanding of systems concepts such as multithreading/concurrency, distributed coordination, resource management, fault tolerance, performance, or networking.\n\n - Experience building foundational systems such as databases, streaming systems, distributed runtimes, operating systems, schedulers, storage systems, Spark, Kafka, or similar infrastructure is highly relevant.\n\n - A track record of mentoring engineers and raising the technical bar of the teams around you.\n\n - Nice to have: Contributions to open-source infrastructure projects.\n\n\n\n\nWHY ANYSCALE\n\n - We're on a mission to make scalable computing effortless. Ray is the AI Compute Engine at the center of some of the world's most powerful AI platforms\n\n - Our tech is in production at companies like OpenAI, Uber, Spotify, Instacart, and Cruise\n\n - We're backed by Andreessen Horowitz, NEA, and Addition, with $250M+ raised to date\n\n - Recent partnerships with Azure, CoreWeave, and Google Cloud are putting AI-native compute directly into enterprise environments\n\n - Competitive salary and equity, plus health/dental/vision coverage (many plans up to 99% employer-covered)\n\n - We offer flexible time off, paid parental leave, and mental health support\n\nAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law."}],"apiVersion":"1"}