Member of Engineering (Data & Analytics) - Poolside

About Poolside

Poolside exists 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.

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.

About the Role

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.

Your Mission
To deliver reliable, performant, and intuitive data and analytics tools and platforms to accelerate model research.

Responsibilities

• 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

Skills & Experience

• 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

Hiring Process

• 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

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