Member of Engineering (Experiment Platform)
Poolside· Remote·
ABOUT POOLSIDE
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.
ABOUT OUR TEAM
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.
ABOUT THE ROLE
You'll sit at the intersection of Poolside's research, infrastructure, and agent teams, building a new greenfield platform with the scope to democratise how every frontier model gets built. The Experiment Platform team owns the API gateway and the critical research services that power research velocity and experiment lineage. On any given week, you might be designing the data model and API contracts that capture experiment intent and lineage, shipping the CLI and tooling researchers reach for daily, integrating with training systems and eval pipelines, or working through the harder problem of making experiment history a trusted, default part of how research happens. If you want to own a foundational platform, work shoulder to shoulder with the people building frontier models, and define where research infrastructure goes next, this is that role.
YOUR MISSION
To build a reliable, scalable Experiments Platform that ties Poolside's research systems together, and improves how every model gets built.
RESPONSIBILITIES
Design and build robust backend services primarily using Go to power our API Gateway and Experiments 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 Experiments CLI.
Integrate with existing research infrastructure and build dashboards to track adoption and usage metrics.
SKILLS & EXPERIENCE
Proven experience designing and building production APIs, distributed systems, or platform infrastructure with strong emphasis on data modeling, extensibility, and developer experience.
Excellent software engineering fundamentals, including backend architecture, API design, database design, event sourcing, and scalable service development with monitoring and alerting.
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.
PROCESS
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
BENEFITS
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