Member of Engineering (Data & Analytics)
Join Poolside AI to build data and analytics systems that accelerate model research in a fully remote environment.
Skills & Technologies
Benefits
Joblaze summary
In this role, the individual will focus on developing and maintaining data and analytics systems that support the Model Factory, collaborating closely with researchers to enhance their workflows. Key skills include proficiency in programming languages like Go and Python, along with experience in building distributed systems and managing data pipelines. This position is ideal for someone with a strong technical background who thrives in a fast-paced, innovative environment. The team values collaboration and a culture of kindness, aiming to push the boundaries of AI development.
Joblaze insights
- Listed today on Joblaze — tracked directly from Poolside AI's career page.
- Poolside AI has 17 other open roles including Member of Engineering (Interfaces, Full Stack), Member of Engineering (Multimodality - Research Lead), Member of Engineering (Experiment Platform).
- 2585 active Python roles on Joblaze right now.
- 1200 active Kubernetes roles on Joblaze right now.
- 913 active Go roles on Joblaze right now.
- Typical Python salary we track runs $125,000–$193,400 (median $160,000, across 1514 roles).
Quick facts
- Is the Member of Engineering (Data & Analytics) role remote?
- Yes — Poolside AI lists this as a fully remote position.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Go, observability systems, cloud infrastructure, Python, Kubernetes.
- What seniority level is this role?
- Poolside AI targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Member of Engineering (Data & Analytics) role at Poolside AI.
From the original posting
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.
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.
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 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.
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
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