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’ll be working on our data team focused on the quality of the datasets being delivered for training our models. This is a hands-on role where your #1 mission would be to improve the quality of the pretraining datasets by leveraging your previous experience, intuition and training experiments. This includes synthetic data generation and data mix optimization. You’ll closely collaborate with other teams like Pretraining, Postraining, Evals, and Product to define high-quality data needs that map to missing model capabilities and downstream use cases.
Staying in sync with the latest research in the fields of dataset design and pretraining is key to success in this role. You will constantly lead original research initiatives through short, time-bounded experiments while deploying highly technical engineering solutions into production. With the volumes of data to process being massive, you'll have a performant distributed data pipeline together with a large GPU cluster at your disposal.
Curious about the tech? Take a deep dive into our pretraining data work in our Laguna M.1/XS.2 Technical Report.
To deliver large, high-quality, and diverse datasets of natural language and source code for training Poolside models and coding agents.
Follow the latest research related to LLMs and data quality in particular. Be familiar with the most relevant open-source datasets and models.
Design and implement complex pipelines that can generate large amounts of data while maintaining high diversity and optimizing the resources available.
Closely work with other teams such as Pretraining, Posttraining, Evals and Product to ensure short feedback loops on the quality of the models delivered.
Suggest, conduct and analyze data ablations or training experiments that aim to improve the quality of the datasets generated via quantitative insights.
Strong machine learning and engineering background
Experience with Large Language Models (LLM), including:
Understanding of transformer architectures and how LLMs learn
Data ablations and scaling laws
Mid-training and Post-training techniques
Training reasoning and agentic models
Experience with evals tracking model capabilities (general knowledge, reasoning, math, coding, long-context, etc)
Experience in building trillion-scale pretraining datasets, and familiarity with concepts like data curation, deduplication, data mixing, tokenization, curriculum, impact of data repetition, etc.
Excellent programming skills in Python
Strong prompt engineering skills
Experience working with large-scale GPU clusters and distributed data pipelines
Strong obsession with data quality
Research experience:
Author of scientific papers on any of the topics: applied deep learning, LLMs, source code generation, etc. - is a nice to have
Can freely discuss the latest papers and descend to fine details
Is reasonably opinionated
Intro call with one of our Founding Engineers
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 & dependents
Company-provided equipment
Well-being, always-be-learning & home office allowances
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 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 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 open-weight 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'll build a new team from the ground up, owning multimodality at Poolside: teaching our frontier coding model to see. Multimodality is becoming increasingly important in frontier models, and this is a chance to shape this capability in Poolside’s models from an early stage. To deliver it, you'll draw on our powerful model factory, thousands of GPUs, and our strong research team.
The near-term focus is image input — the capability most useful to SWE and general agents — reading a design and speccing it out, writing and verifying the code that makes that design real, understanding the plots and diagrams in a paper. You'll set the technical direction, starting with pragmatic adapter-based approaches and evolving toward native multimodality over time. You'll partner closely with across teams inside Applied Research, and work in a newly-formed team alongside one of our talented founding engineers to bootstrap our multimodality efforts.
YOUR MISSION
To bring multimodality to Poolside's models, starting with image input and building toward native multimodal understanding.
Own Poolside's multimodality direction and capability adoption
Ship our first image-input capabilities
Chart and drive the path from adapter-based to native multimodality
Collaborate on custom evaluations and datasets for multimodal SWE capabilities
Run experiments end to end: hypothesis, implementation, training at scale, analysis
Partner with evals, architecture, data, and post-training teams to land multimodality in Poolside models
Experience in end-to-end training of production-grade VLMs
Strong LLM training fundamentals: transformers and distributed training at scale
Strong Python programming skills
Pragmatic and high-ownership: you reach for the simplest thing that works and thrive in greenfield ambiguity
Nice to have:
Leadership and 0-1 experience, especially with substantial breadth, ownership, and hands-on contributions
Distinguished research background on VLMs or multimodal models
Understanding of the challenges of native multimodality
Experience building agentic computer use systems
Intro call with one of our Co-Heads of Applied Research
Technical Interviews with Founding Engineers and Members of Engineering
Team fit call with the People team
Final interview with our Co-CEO and Co-Founder, Eiso
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 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 be part of our Platform engineering team focusing on our sandboxed agent execution environment to accelerate experimentation and foundation model training. In service of our evaluation and training teams, you will design, develop and operate services and systems that enable running agent sessions in a rich and safe environment at scale: 100s of thousands to millions of environments. You will also explore and evaluate different isolation techniques. You will also improve the reliability and performance of the systems behind the execution environment.
For more technical details, you can see some of our previous related works in this blog post.
We're prioritizing candidates with hands-on experience with sandbox techniques and container runtimes. Besides the technical background, we value candidates who can balance between speed and quality, who are self-driven, are willing to reprioritize works based on evolving project needs, and can distinguish between high impact tasks and trivial optimizations.
Deliver a secure, reliable and performant sandboxed Agent execution environment to meet both the research and product needs at poolside.
Design and develop a sandboxed execution environment to facilitate Agent research and product development at poolside.
Own the complete development cycle of new features and capabilities in the Agent execution environment.
Collaborate with other teams to discuss, guide and meet their needs in the sandbox and code execution environment.
Continuously improve reliability and performance of the Agent execution environment.
Strong programming skills, especially in Go, Python, or other systems programming languages.
Comfortable with distributed systems. Or have a good reason to be uncomfortable with them. We'd love to hear your battle scars.
Experience in Kubernetes or similar container/vm orchestration systems. Familiarity with public clouds like AWS, GCP, etc.
Experience in designing and building distributed systems.
Experience in virtualization or container runtime.
Experience in building large scale CI/CD platforms.
Plus: Experience building systems to support large scale machine learning workloads
Intro call with the Sandboxes Team Lead
Technical Interviews with 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 & dependents
16 weeks of flexible, full-pay parental leave
Company-provided equipment
Well-being, always-be-learning & home office allowances
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 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 will be a core member of our Pretraining Data team, responsible for building and scaling our Model Factory: our system for quickly training, scaling, and experimenting with our foundation models. This is a hands-on role where your #1 mission is to architect and maintain the high-performance pipelines that transform trillions of raw tokens into the high-quality dataset \"fuel\" our models require.
To enable us to conduct and implement latest research, you’ll be engineering the ingestion, deduplication, and streaming systems that handle petabyte-scale data. You will bridge the gap between raw web crawls and our GPU clusters, directly influencing model performance through superior data modeling, algorithmic sorting, and distributed pipeline optimization. You will be closely collaborating with other teams like Pretraining, Postraining, Evals, and Product to generate high-quality datasets that map to missing model capabilities and downstream use cases.
Curious about the tech? Take a deep dive into our pretraining data work in our Laguna M.1/XS.2 Technical Report.
To deliver large, high-quality, and diverse datasets of natural language and source code for training Poolside models and coding agents.
Build and maintain high-performance pipelines for trillions of tokens.
Deliver diverse and high quality datasets for pre-training foundation models.
Closely work with other teams such as Pretraining, Posttraining, Evals and Product to to ensure alignment on the quality of the models delivered.
Strong background in building production-grade, distributed data systems for machine learning, with experience in:
Orchestration: Slurm, Airflow, or Dagster
Observability & Reliability: CI/CD, Grafana, Prometheus, etc.
Infra: Git, Docker, k8s, cloud managed services
Batch inference (ex: vLLM)
Performance obsession, especially with large-scale GPU clusters and distributed pipelines
Expert-level python knowledge and ability to write clean and maintainable code
Strong algorithmic foundations
Proficiency with libraries like Polars, Dask, or PySpark
Nice to have:
Experience in building trillion-scale SOTA pretraining datasets
Experience translating research to production at scale
Experience with OCR, web crawling, or evals
Prior experience pre-training LLMs
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
Company-provided equipment
Well-being, always-be-learning & home office allowances
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 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 in Paris each month for 3 days, with an open invitation to stay the whole week. For those based in PST, we understand this is a significant travel cadence; we are open to agree on a lower cadence and will discuss this in the interview process. 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’ll be working on our data team focused on the quality of the datasets being delivered for training our models. This is a hands-on role where your #1 mission would be to improve the quality of our datasets across the entire training cycle (pre-training, mid-training, post-training, RL) by leveraging your previous experience, intuition and training experiments. This role particularly focuses on generating synthetic data at scale and determining the best strategies to leverage such data into training large models. You’ll closely collaborate with other teams like Pre-training, Pre-training data, Post-training, RL2L, Evals, and Product to define high-quality data needs that map to missing model capabilities and downstream use cases.
Staying in sync with the latest state-of-the-art research in synthetic data generation and LLM training is key to success in this role. You will constantly lead original research initiatives through short, time-bounded experiments while deploying highly technical engineering solutions into production. With the volumes of data to process being massive, you'll have a performant distributed data pipeline together with large GPU clusters at your disposal.
Curious about the tech? Take a deep dive into our data work in our Laguna M.1/XS.2 Technical Report.
To deliver large, high-quality, and diverse synthetic datasets mixing natural language and code modalities to train best-in-class Poolside coding agents.
Follow the latest research related to LLMs and synthetic data generation in particular. Be familiar with the most relevant open-source datasets and models.
Design and implement complex pipelines that can generate large amounts of data while maintaining high diversity and optimizing the resources available.
Closely with cross-team to ensure the experiments run and data generated is the most efficient use of compute and time resources for the improvements in quality of our models.
Continuously measure and refine the quality of the datasets being generated while validating the final data strategy through quantitative data ablation experiments.
Strong machine learning and engineering background
Experience with Large Language Models (LLM), including:
Understanding of how LLMs learn
Data ablations and scaling laws
Post-training techniques
Training reasoning and agentic models
Experience with implementing cost-efficient, complex pipelines to generate synthetical datasets at scale optimizing for data quality, correctness, diversity, etc.
Experience with evals tracking model capabilities (general knowledge, reasoning, math, coding, long-context, etc)
Experience in building trillion-scale pretraining datasets, and familiarity with concepts like data curation, deduplication, data mixing, tokenization, curriculum, impact of data repetition, etc.
Excellent programming skills in Python
Strong prompt engineering skills
Experience working with large-scale GPU clusters and distributed data pipelines
Strong obsession with data quality
Research experience:
Nice to have: Author of scientific papers on any of the topics: applied deep learning, LLMs, source code generation, etc.
Nice to have: Formal machine learning, mathematics, or computer science background
Can freely discuss the latest papers and descend to fine details
Is reasonably opinionated
Intro call with one of our Founding Engineers
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 & dependents
16 weeks of flexible, full-pay parental leave
Company-provided equipment
Well-being, always-be-learning & home office allowances
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 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.
This is a role for someone who wants to define what gets built, not just how it looks. You'll own product vision in 0-to-1 spaces, working at the frontier of what Poolside should build next, translating ambiguous problems into clear product direction, and prototyping fast to validate ideas before they become roadmap. You'll work closely with engineering and leadership, partnering tightly with our product design team to shape experiences that sit at the intersection of frontier AI and developer tooling.
The problems here are genuinely hard and the surface area is wide. One day you're digging deep to understand how developers experience a new agentic workflow; the next you're building a proof-of-concept that changes the direction of a product. Your taste and judgment will be visible in what ships.
YOUR MISSION
To forge the product direction for Poolside's developer experience, defining what we build at the frontier of AI and software development.
Own product vision in 0-to-1 spaces, defining what Poolside should build and translating ambiguous problems into clear, buildable direction.
Lead design, experimentation, and proof-of-concepts that explore what's next for developer tools, feeding insight back into the product roadmap.
Partner with Product Engineering to move ideas from concept to shipped product, working at both the strategic and the granular level.
Prototype rapidly and validate early; you're as comfortable in code as you are in a design tool.
Collaborate with designers and the wider design team to ensure product thinking is consistent and well-resourced across Poolside's surfaces.
Shape how Poolside shows up externally as a product, including how developers first encounter our work.
Strong product intuition with a history of defining what to build, not just how to build it. You've forged direction, not just executed on it.
A genuine history of building with code: scripts, tools, personal projects shipped from scratch. You can speak concretely to what you built and why.
Genuine familiarity with developer workflows. Version control, local environments, the command line, deployment pipelines. Not as a curiosity, but as your natural habitat.
Deep experience designing for developer tools specifically, not general consumer or enterprise products.
Strong visual craft. You produce polished, high-quality UI and can hold a high bar across the full product experience.
Comfortable with rapid prototyping, research, and proof-of-concepts. You move fast and validate early.
Highly autonomous: you set your own direction, bring others along on your thinking, and make good decisions in ambiguity.
Intro call with one of our Designers
Design interview with a Design Engineer (Product). Come with 1–2 projects you forged, not just executed
Technical interview with a Product Engineer. Expect questions on how you build and think about developer workflows
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 & 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 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
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.
The Interfaces team builds the product surfaces for Poolside’s Model Factory: our industrial approach to the process of training models. Your role is to turn parts of model training – experiments, trajectories, evals, data inspection – into a product that can be easily seen and interacted with.
You'll join as a full-stack product engineer and own surfaces end-to-end, from backend and APIs to the web UI, for the researchers and engineers who build our models. You'll figure out what they actually need, ship fast, and iterate on quickly on feedback, balancing scalability and flexibility. Much of this work is greenfield: whole areas are still untouched or require complete revamps. Since researcher velocity and ability to make decisions with limited time and resources are critical to our success, your work will directly accelerate Poolside's ability to develop models.
YOUR MISSION
To deliver the product surfaces and platform that make poolside's model-building process visible, usable, and fast for the teams who build our models.
Own product surfaces end-to-end, from backend services and APIs to the web UI, across the Model Factory platform
Turn the opaque parts of model training (experiments, trajectories, evals, data inspection) into interfaces people trust and use every day
Deeply understand the needs of applied researchers; align closely on their use-cases, find the bottlenecks, and ship new platforms + features to improve their workflows
Build the platform other internal teams contribute their own UI into (a.k.a. our internal design system)
Quickly iterate on feedback, prioritizing adoption and usability
Uphold quality across the stack: performance, reliability, and high-utility interfaces
Strong full-stack product engineering: you build end-to-end, from data model to polished web UI
Product sense: you have an intuition for what users need, can make product decisions independently, and deeply care about the products you build
Fluent in a modern web stack (e.g. TypeScript / React) and a backend language, comfortable anywhere in the stack
You thrive in ambiguity and greenfield work, taking a loosely-defined problem all the way to a shipped, adopted product
Low ego, collaborative, and fast-moving; you do your best work close to research, product, and infrastructure
Nice to have:
A working understanding of how ML models are built (experiments, evals, training workflows), or real curiosity to learn it
Experience with data-analysis tooling, agent tooling, or AI products
We encourage you to apply even if you do not believe you meet every single qualification.
Intro call with the Interfaces team lead
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 & 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
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 sit at the intersection of Poolside's research, infrastructure, and product teams, acting as the connective tissue that brings agents into every corner of the Model Factory. The Agent Experience team owns the harness, skills, and tooling behind autonomous research and the daily experience of the researchers running it. In a given week, you might ship an agent that runs its own ablations end to end, build the distribution layer that lets a skill written by one researcher land in everyone's workflow the same day, or instrument trajectories so we can actually see where agents earn their keep. If you want to own the surface every researcher touches, work alongside the people building frontier models, and help shape what agentic research looks like next, this is the role for you.
YOUR MISSION
To establish, improve and accelerate self-improvement loops of the agentic connective tissue across all engineering and research teams at Poolside.
RESPONSIBILITIES
Partner closely with researchers (pre-, post-training), eval teams, infrastructure teams, and experiment platform engineers to translate research workflows into self-improving agentic flows.
Design and build robust backend services primarily using Python and Go to power our agents.
Drive adoption of agent-native research workflows.
Build out evals and datasets relevant for measure self-improvement capabilities of our own models and drive the inner flywheel of the model factory.
Integrate with existing research infrastructure and build dashboards to track adoption and usage metrics.
Work closely with our agent harness and runtime team to define the roadmap
SKILLS & EXPERIENCE
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.
Proven experience building agentic systems, skills, self-improvement loops or experience in non-trivial harness engineering.
Nice to have: Understanding of ML research workflows, including experiments, evals, training runs, evaluations, checkpoints, configurations, datasets, and research iteration cycles.
Nice to have: Experience in systems used in model training like W&B, Neptune, Dagster,
PROCESS
Intro call with the Engineering Manager
Technical Interviews with our Members of Engineering
Team fit call with the People team
Final interview with one of our VP of Engineering
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