Poolside
Member of Engineering (Data & Analytics)
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
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.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
ABOUT THE ROLE
You'll 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 be engaging directly with researchers to understand their experiments and workflows in order to design and build systems that accelerate their research. 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
Get help with your application
Your very own career expert that helps elevate your application to the next level.
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
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location