About the job
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.
Responsibilities
- 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.
Qualifications
Minimum
- 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.
Preferred
- Understanding of ML research workflows, including experiments, training runs, evaluations, checkpoints, configurations, datasets, and research iteration cycles.