In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers.
Poolside exists to be this company: to build a world where AI will be the engine behind economically valuable work and scientific progress. We believe the fastest way to reach AGI lies in accelerating software development itself, by reshaping the developer experience with agentic systems, coding assistants, and the frontier models that power them. We deploy these systems directly into the development environments of security-conscious enterprises.
We were founded in the US and have our home there, but our team is distributed across Europe and North America. We get our fix of in-person collaboration (and croissants) in Paris each month for 3 days, always Monday-Wednesday, with an open invitation to stay the whole week. We also do longer off-sites once a year.
Our team is a multidisciplinary blend of research, engineering, and business experts. What unites us is our deep care for what we build together. We’re in a race that requires hard work, intellectual curiosity, and obsession; to balance this intensity, we’ve assembled a team of low ego and kind-hearted individuals who have built the special culture Poolside has. By building collaboratively and with intention, we create a compounding effect that moves the entire company forward towards our mission: reaching AGI through intelligence systems built for software development.
You would be working as part of our Applied Research team, focused on turning pre-trained LLMs into well-aligned and highly capable AI systems for coding and software development. This is a hands-on role where you'll work across a variety of efforts, including: Building data pipelines and environments for agentic use cases, researching and implementing post-training algorithms, designing experiments and testing hypothesis, and more. You will have access to thousands of GPUs in this team.
To turn pre-trained LLMs into well-aligned and highly capable AI systems.
Research and experiment on ways to specialize foundational models to agentic use cases
Build and maintain data and training pipelines
Keep up with latest research, and be familiar with state of the art in LLMs, alignment, synthetic data generation, code generation
Design, analyze, and iterate on training/fine-tuning/data generation experiments
Write high-quality, pragmatic code
Work as part of a team: plan future steps, discuss, and communicate clearly with your peers
Experience with Large Language Models (LLM)
Deep knowledge of Transformers
Strong deep learning fundamentals
Good taste in data
Post-training experience with LLMs
Extensively used and probed LLMs, familiarity of their capabilities and limitations
Knowledge of distributed training
Strong machine learning and engineering background
Research experience
Experience in proposing and evaluating novel research ideas
Familiar with, or contributed to the state of the art in multiple of the following topics: Fine-tuning and alignment of LLMs, synthetic data generation, continual learning, RLVR, code generation
Is comfortable in a rapidly iterating environment
Is reasonably opinionated
Programming experience
Linux
Strong algorithmic skills
Python with PyTorch or Jax
Use modern tools, including latest code agents and are always looking to improve
Strong critical thinking and ability to question code quality policies when applicable
Prior experience in non-ML programming, especially not in Python - is a nice to have
Intro call with one of our Founding Engineers
Technical Interview(s) with one of our Founding Engineers
Team fit call with the People team
Final interview with one of our Founding Engineers
Fully remote work & flexible hours
37 days/year of vacation & holidays
Health insurance allowance for you & dependents
16 weeks of flexible, full-pay parental leave
Well-being, always-be-learning & home office allowances
Company-provided equipment
Frequent team get togethers
Diverse & inclusive people-first culture
In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers.
poolside exists to be this company - to build a world where AI will be the engine behind economically valuable work and scientific progress.
We are a remote-first team that sits across Europe and North America and comes together once a month in-person for 3 days and for longer offsites twice a year.
Our R&D and production teams are a combination of more research and more engineering-oriented profiles, however, everyone deeply cares about the quality of the systems we build and has a strong underlying knowledge of software development. We believe that good engineering leads to faster development iterations, which allows us to compound our efforts.
Design and implement the infrastructure and tooling used by poolside researchers and engineers.
To ensure our progress leads to meaningful improvements to our users.
Research and implementation of evaluations and benchmarks; both for base models and for instruction following models
Collaborate with both applied research and product teams to define meaningful metrics and evaluations that capture our progress on real world software development skills
Work in a team: plan future steps, discuss, and communicate clearly with your peers
Experience with Large Language Models (LLM)
Strong understanding and intuition of LLMs, and their limitations
Good taste, and a curious mindset
Strong engineering background
Strong programming skills, ideally across multiple languages
Familiar with full software development life cycle
Programming experience
Linux
Strong algorithmic skills
Multiple languages, including Python
Use modern tools and are always looking to improve
Strong critical thinking and ability to question code quality policies when applicable
Intro call with one of our Founding Engineers
Technical Interview(s) with one of our Founding Engineers
Team fit call with the People team
Final interview with one of our Founding Engineers
Fully remote work & flexible hours
37 days/year of vacation & holidays
Health insurance allowance for you and dependents
Company-provided equipment
Wellbeing, always-be-learning and home office allowances
Frequent team get togethers
Great diverse & inclusive people-first culture
ABOUT POOLSIDE
In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers.\t
Poolside exists to be this company: to build a world where AI will be the engine behind economically valuable work and scientific progress. We believe the fastest way to reach AGI lies in accelerating software development itself, by reshaping the developer experience with agentic systems, coding assistants, and the frontier models that power them. We deploy these systems directly into the development environments of security-conscious enterprises.
ABOUT OUR TEAM
We were founded in the US and have our home there, but our team is distributed across Europe and North America. We get our fix of in-person collaboration (and croissants) in Paris each month for 3 days, always Monday-Wednesday, with an open invitation to stay the whole week. We also do longer off-sites once a year.
Our team is a multidisciplinary blend of research, engineering, and business experts. What unites us is our deep care for what we build together. We’re in a race that requires hard work, intellectual curiosity, and obsession; to balance this intensity, we’ve assembled a team of low ego and kind-hearted individuals who have built the special culture Poolside has. By building collaboratively and with intention, we create a compounding effect that moves the entire company forward towards our mission: reaching AGI through intelligence systems built for software development.
ABOUT THE ROLE
Design and implement the build, CI/CD, and tooling infrastructure that Poolside's researchers and engineers rely on every day. You'll join our infrastructure team as the second engineer focused on developer experience, partnering closely with the person who owns this area today while sharing on-call, incident response, and platform ownership with the wider team. You'll make our monorepo fast, our builds reproducible, and our Python ecosystem coherent, leveraging automation to multiply your impact across every team at Poolside.
YOUR MISSION
Make it seamless for our researchers and engineers to build, test, and ship. You'll take on significant ownership of our build and CI/CD systems, with the support of an established infrastructure team behind you.
RESPONSIBILITIES
You will be responsible for designing and managing the infrastructure required by Poolside's engineers and researchers. Leveraging automation to multiply your impact is essential for this role. Additionally, you will develop tools and solutions aimed at increasing the efficiency of our engineering teams.
SKILLS & EXPERIENCE
Build Systems
Strong hands-on experience with Bazel — writing and maintaining rules, macros, and toolchains
Familiarity with remote caching and build optimisations
CI/CD
Experience setting up and managing CI/CD pipelines, preferably Buildkite
Comfortable with dynamic pipelines, agent fleet management, and build-time optimization
Python ecosystem
Strong Python proficiency, including packaging, dependency management (uv/pip/Poetry), and virtual environments
Experience integrating Python and ML/research codebases into a monorepo build system
Proficient in Go
Experience writing backend services
Familiarity writing CLI applications and internal developer tooling
Debugging and Problem-Solving
Expertise in debugging issues on Linux, including network and process-related problems
Containerization and Orchestration
Experience running containers using Kubernetes
Experience with managed or self-hosted Kubernetes
Cloud Services
Familiarity with AWS services
Comfortable managing IAM policies and ensuring proper permission settings
Hands-on experience with Terraform or OpenTofu for managing complex AWS environments
Operations & Collaboration
Skilled in observability and monitoring tools and practices
Experienced in incident response protocols and best practices
Comfortable working within a broader infrastructure team — sharing on-call, contributing to incident response, and building tooling other engineers depend on
PROCESS
Intro call with the team lead
Technical Interview(s) with a member of our engineering team
Team fit call with the People team
Final interview with one of our Founding engineers
BENEFITS
Fully remote work & flexible hours
37 days/year of vacation & holidays
Health insurance allowance for you & dependents
16 weeks of flexible, full-pay parental leave
Well-being, always-be-learning & home office allowances
Company-provided equipment
Frequent team get togethers
Diverse & inclusive people-first culture
In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers.
poolside exists to be this company - to build a world where AI will be the engine behind economically valuable work and scientific progress.
We are a remote-first team that sits across Europe and North America and comes together once a month in-person for 3 days and for longer offsites twice a year.
Our R&D and production teams are a combination of more research and more engineering-oriented profiles, however, everyone deeply cares about the quality of the systems we build and has a strong underlying knowledge of software development. We believe that good engineering leads to faster development iterations, which allows us to compound our efforts.
Evaluation is one of the most important pillars of building a frontier model and product - it informs the direction of research and development, powers our experimentation and ensures quality and alignment with our users.
To support this, we need a powerful pipeline and self-serve evaluation framework that helps poolsiders build, run and extract insight from evals easily.
In this role, you will design and implement this platform to build and run evaluations at scale.
Build a scalable self-serve evaluation platform to power our research and development
Design a Python framework that makes it easy for poolsiders to implement both internal and public benchmarks in a centralized way
Build and maintain the pipeline that runs distributed evaluations at scale
Collaborate with modeling and product teams to identify opportunities to improve our experimentation and evaluation tooling
Strong engineering background
Experience leading software projects cross functionally
Experience building highly reliable and well tested services
Experience with distributed systems
Data pipelines, distributed processing
Message queues, event-driven architectures, e.g. Kafka, Google pub/sub.
Clouds: managed services, storage. GCP, AWS, Azure.
Monitoring and alerting: Grafana, Prometheus, Datadog
Plus: Experience designing frameworks or tooling for developers
A product mindset towards building developer facing software
A knack for collaborating with researchers and ML engineers to identify opportunities
Plus: Experience with ML ops and data visualization platforms
Intro call with one of our Founding Engineers
Technical Interview(s) with one of our Founding Engineers
Team fit call with the People team
Final interview with one of our Founding Engineers
Fully remote work & flexible hours
37 days/year of vacation & holidays
Health insurance allowance for you and dependents
Company-provided equipment
Wellbeing, always-be-learning and home office allowances
Frequent team get togethers
Great diverse & inclusive people-first culture
In this decade, the world will create artificial intelligence that reaches human level intelligence (and beyond) by combining learning and search. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will determine who survives and wins. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research and engineering at scale. They will create powerful economic engines. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this.
poolside exists to be one of these companies - to build a world where AI will drive the majority of economically valuable work and scientific progress.
We believe that software development will be the first major capability in neural networks that reaches human-level intelligence because it's the domain where we can combine Search and Learning approaches the best.
At poolside we believe our applied research needs to culminate in products that are put in the hands of people. Today we focus on building for a developer-led increasingly AI-assisted world. We believe that current capabilities of AI lead to incredible tooling that can assist developers in their day to day work. We also believe that as we increase the capabilities of our models, we increasingly empower anyone in the world to be able to build software. We envision a future where not 100 million people can build software but 2 billion people can.
We are a remote-first team that sits across Europe and North America and comes together once a month in-person for 3 days and for longer offsites twice a year.
Our R&D and production teams are a combination of more research and more engineering-oriented profiles, however, everyone deeply cares about the quality of the systems we build and has a strong underlying knowledge of software development. We believe that good engineering leads to faster development iterations, which allows us to compound our efforts.
We're looking for an Events Lead to take full ownership of every event poolside touches—the ones we host and the ones we show up to—across the world. From investor moments like Davos to developer activations to revenue-driving conferences we attend, you'll own production end to end: booth, materials, swag, logistics, vendors, and the run-of-show. You'll also be the person who makes sure every poolside team member traveling to an event is organized, briefed, and set up to make an impact.
This role is based in the US. The most complex and highest-stakes events we run happen here, for reasons of audience, partners, and logistics, so we need someone on the ground who can lead them with operational rigor.
You'll work across marketing, sales, product, developer relations, and leadership, and you'll be the connective tissue that turns a calendar of events into measurable awareness, demand, and model usage.
You'll be obsessed with how poolside shows up to the world—every booth, every dinner, every keynote moment—and with turning each one into mindshare, model usage, brand and pipeline.
You'll own the full lifecycle of poolside's events, which fall into three broad categories, each with its own goals:
Commercial — revenue-generating events designed to create and accelerate pipeline. You'll align audiences, invites, and follow-through with go-to-market & partnerships so each event drives measurable commercial impact.
Activation events — events built to grow mindshare, model usage, and token consumption. You'll design experiences that get developers to try, adopt, and build with poolside.
Corporate events — All the other moments where poolside needs to show up with precision and polish.
Across all three, you'll:
Own the entire show. From budget to booth design, swag to A/V, on-site ops to run-of-show, you'll be the person who turns a blank slate into an event people remember. Nothing ships without your fingerprints on it.
Be the reason it runs flawlessly. Every traveling team member looks to you for briefings, schedules, logistics, and prep. When the poolside contingent walks in sharp, organized, and ready, that's you.
Connect events to real outcomes. Work shoulder-to-shoulder with go-to-market, partnerships, marketing, product, and developer relations to tie every event to targets that matter: attendance, pipeline, model usage, content reach. You won't just run events, you'll prove they moved the needle.
Own the money story. Track spend, reconcile invoices, and model ROI so the business knows exactly what's working and why. Your story shapes where we invest next.
Set the bar for partners. Build the relationships with agencies, production partners, sponsors, and vendors that make great events possible, and hold every one of them to the standard poolside is known for.
Take poolside global. As we scale our presence across regions, you'll be the one building programming that works anywhere in the world.
Make every event better than the last. Own the KPIs for reach, engagement, pipeline, and brand lift, then turn the data into insights that sharpen everything we do.
5+ years in event planning and execution, including hands-on experience running conferences, product launches, or activations with large audiences.
Based in the US, with the operational skill to lead complex, high-stakes events on the ground here like AWS re:Invent or NVIDIA GTC.
Deeply detail-oriented: run-of-show documents, vendor management, A/V coordination, swag and booth logistics, and traveler prep are where you shine.
Commercial awareness: you understand how events connect to pipeline, sponsorship value, model adoption, and ROI, and can report on it clearly.
A strong cross-functional collaborator who can manage external partners and internal stakeholders to a high standard.
Developer empathy: you ideally know how to design experiences that resonate with technical audiences—engineers, CTOs, and product leaders – and you can partner with marketing and our field engineering team to support their vision.
Operational rigor: a proven ability to deliver complex events on time and on budget, with solid contingency planning.
Comfortable with frequent travel and with the ambiguity of a fast-moving, early-stage environment.
Intro call
Working session on event strategy and execution with the marketing team
Cross-functional interviews
Team fit call with the People Team
Final interview
Fully remote work & flexible hours
37 days/year of vacation & holidays
Health insurance allowance for you and dependents
Company-provided equipment
Wellbeing, always-be-learning and home office allowances
Frequent team get togethers
Great diverse & inclusive people-first culture
In this decade, the world will create artificial intelligence that reaches human level intelligence (and beyond) by combining learning and search. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will determine who survives and wins. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research and engineering at scale. They will create powerful economic engines. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this.
poolside exists to be one of these companies - to build a world where AI will drive the majority of economically valuable work and scientific progress.
We believe that software development will be the first major capability in neural networks that reaches human-level intelligence because it's the domain where we can combine Search and Learning approaches the best.
At poolside we believe our applied research needs to culminate in products that are put in the hands of people. Today we focus on building for a developer-led increasingly AI-assisted world. We believe that current capabilities of AI lead to incredible tooling that can assist developers in their day to day work. We also believe that as we increase the capabilities of our models, we increasingly empower anyone in the world to be able to build software. We envision a future where not 100 million people can build software but 2 billion people can.
We are a remote-first team that sits across Europe and North America and comes together once a month in-person for 3 days and for longer offsites twice a year.
Our R&D and production teams are a combination of more research and more engineering-oriented profiles, however, everyone deeply cares about the quality of the systems we build and has a strong underlying knowledge of software development. We believe that good engineering leads to faster development iterations, which allows us to compound our efforts.
You'll sit at the intersection of Poolside's research, infrastructure, and agent teams, building a greenfield platform that democratises how every frontier model gets built. The Experiment Platform team owns the API gateway and the research services behind research velocity and experiment lineage. In a given week, you might design the data models and API contracts behind experiment intent, ship the CLI researchers use daily, or connect the platform to training and eval pipelines. If you want to own a foundational platform, work alongside the people building frontier models, and help shape where research infrastructure goes next, this is the role for you.
To build a reliable, scalable Experiment Platform that ties Poolside's research systems together, and improves how every model gets built.
Design and build robust backend services primarily using Python and Go to power our API Gateway and Experiment Platform.
Partner closely with researchers, infrastructure teams, and agent platform engineers to translate research workflows into intuitive APIs, data models, and developer experiences.
Drive adoption of agent-native research workflows by delivering the Experiment CLI.
Integrate with existing research infrastructure and build dashboards to track adoption and usage metrics.
Proven experience building production APIs, distributed systems, or platform infrastructure.
Strong engineering fundamentals across backend architecture, API and database design, and operational excellence.
Demonstrated ability to lead ambiguous, cross-functional initiatives, aligning stakeholders around a shared technical vision.
Nice to have: Understanding of ML research workflows, including experiments, training runs, evaluations, checkpoints, configurations, datasets, and research iteration cycles.
Intro call with one of our Members of Engineering
Technical Interview(s) with one of our Members of Engineering
Team fit call with the People team
Final interview with one of our Founding Engineers
Fully remote work & flexible hours
37 days/year of vacation & holidays
Health insurance allowance for you and dependents
Company-provided equipment
Wellbeing, always-be-learning and home office allowances
Frequent team get togethers
Great diverse & inclusive people-first culture
ABOUT POOLSIDE
In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers.\t
Poolside exists to be this company: to build a world where AI will be the engine behind economically valuable work and scientific progress. We believe the fastest way to reach AGI lies in accelerating software development itself, by reshaping the developer experience with agentic systems, coding assistants, and the frontier models that power them. We deploy these systems directly into the development environments of security-conscious enterprises.
ABOUT OUR TEAM
We were founded in the US and have our home there, but our team is distributed across Europe and North America. We get our fix of in-person collaboration (and croissants) in Paris each month for 3 days, always Monday-Wednesday, with an open invitation to stay the whole week. We also do longer off-sites once a year.
Our team is a multidisciplinary blend of research, engineering, and business experts. What unites us is our deep care for what we build together. We’re in a race that requires hard work, intellectual curiosity, and obsession; to balance this intensity, we’ve assembled a team of low ego and kind-hearted individuals who have built the special culture Poolside has. By building collaboratively and with intention, we create a compounding effect that moves the entire company forward towards our mission: reaching AGI through intelligence systems built for software development.
ABOUT THE ROLE
You’ll be working in the compute team focusing on GPU workload scheduling and inference serving optimization. You would partner with the inference team to improve our inference throughput and latency for evals and reinforcement learning. You would collaborate with our scalability team to focus on stabilizing our large scale fault tolerant training. You would also be in close contact with the infra team to make sure our GPU nodes are all healthy and fully utilized.
We are one of the key teams to improve the research velocity. Any improvement on our systems has a wide impact on researchers and can contribute to the poolside mission on building a frontier model.
YOUR MISSION
To optimize GPU utilization across the company and to deliver stable and scalable inference serving stack for Poolside’s researchers.
RESPONSIBILITIES
Design and develop internal scheduling system to maximize GPU utilization
Build API and tooling to help manage the lifecycle of GPU workloads and troubleshoot failures
Design and improve inference control plane to speed up model deployment and inference request serving
Collaborate with research to improve research velocity continuously
SKILLS & EXPERIENCE
Strong programming skills in Go, or other similar languages
Strong systems engineering background: distributed systems, schedulers, control planes, or high-throughput data planes.
Production experience with Kubernetes internals — controllers, informers, operators — not just deploying to it.
Bias toward observability and debuggability: building a system that is easy to navigate when debugging production issues
Plus: experience in systems serving large scale inference requests
PROCESS
Intro call with a member of our team
Technical Interview(s) with one of our Members of Engineering
Team fit call with the People team
Final interview with one of our Founding Engineers
BENEFITS
Fully remote work & flexible hours
37 days/year of vacation & holidays
Health insurance allowance for you & dependents
16 weeks of flexible, full-pay parental leave
Well-being, always-be-learning & home office allowances
Company-provided equipment
Frequent team get togethers
Diverse & inclusive people-first culture
Diverse & inclusive people-first culture
In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers.
Poolside exists to be this company: to build a world where AI will be the engine behind economically valuable work and scientific progress. We believe the fastest way to reach AGI lies in accelerating software development itself, by reshaping the developer experience with agentic systems, coding assistants, and the frontier models that power them.
We were founded in the US and have our home there, but our team is distributed across Europe and North America. We get our fix of in-person collaboration (and croissants) in Paris each month for 3 days, always Monday-Wednesday, with an open invitation to stay the whole week. We also do longer off-sites once a year.
Our team is a multidisciplinary blend of research, engineering, and business experts. What unites us is our deep care for what we build together. We’re in a race that requires hard work, intellectual curiosity, and obsession; to balance this intensity, we’ve assembled a team of low ego and kind-hearted individuals who have built the special culture Poolside has. By building collaboratively and with intention, we create a compounding effect that moves the entire company forward towards our mission: reaching AGI through intelligence systems built for software development.
You will work on the Model Factory, building the data and analytics systems underneath it such as our agent trajectory store, experiment configuration registry, experiment metrics, and others.
In this role, you will engage directly with researchers to understand their experiments and workflows so you can improve our data and analytics. Since training efficiency is a function of how quickly we learn and draw insights from each run, your work will directly accelerate Poolside's ability to develop models. The work on this team will be a mix of greenfield projects as well as extending existing systems to support larger scale, higher reliability, and more demanding performance requirements.
If you are excited to own foundational systems, build at scale, and work alongside researchers to push the frontier of model capabilities, this is the role for you.
YOUR MISSION
To deliver reliable, performant, and intuitive data and analytics tools and platforms to accelerate model research.
Design, build, and operate the data and analytics systems of our Model Factory
Own the entire data lifecycle of experiment data including modelling, ingestion, retrieval, query, analysis, and retention
Partner closely with researchers to understand their workflows and ensure we're guided by their data and analytics needs
Strong programming skills in Go, Python, or other similar languages
Proven experience building and operating distributed systems at scale, with a strong understanding of consistency models, queue/stream processing and data pipelines
Production experience with Kubernetes, cloud infrastructure, observability systems
Ability to lead ambiguous and cross-functional initiatives, building alignment and driving progress
Nice to haves: experience working OLAP databases, timeseries databases, high cardinality datasets, understanding of ML research workflows
Intro call with a member of the team
Technical interview(s) with one of our Members of Engineering
Team fit call the People Team
Final interview with one of our Founding Engineers
Fully remote work & flexible hours
37 days/year of vacation & holidays
Health insurance allowance for you & dependents
16 weeks of flexible, full-pay parental leave
Well-being, always-be-learning & home office allowances
Company-provided equipment
Frequent team get togethers
Diverse & inclusive people-first culture