Full Stack Engineer, ML Platform
Prior Labs4 months ago
Berlin, GermanyMid Level
Responsibilities
- Build the core platform for tabular foundation models, including data upload, exploration, inference, and results.
- Architect reliable, low-latency backend services for real-time model inference at scale.
- Work with the research team to turn new model capabilities into production features.
- Own frontend experiences for technical users such as data scientists and ML engineers.
- Build and ship data-intensive, user-facing product experiences across the full stack.
Requirements
- At least 3 years of experience building highly available, user-facing full-stack products with ownership of shipped work.
- Experience building data-intensive applications such as dashboards, analytics tools, or data exploration interfaces.
- Strong JavaScript/TypeScript and Python skills.
- Understanding of ML system inputs, outputs, and failure modes sufficient to build reliable interfaces around them.
- Good product instincts and comfort working in a fast-moving, ambiguous environment.
Benefits
- Cloud infrastructure experience, especially with GCP, is a bonus.
- Experience with developer tools, data platforms, or ML-adjacent products is a bonus.
- Experience with React, FastAPI, and Postgres is a bonus.
- Teams are based in Berlin, Freiburg, and New York; exceptional remote arrangements are possible and usually involve frequent travel to an office.
- The company regularly holds offsites for the whole team.
- The company provides equal opportunities and welcomes applicants from all identities and backgrounds.
Tech Stack
Categories
About Prior Labs
Prior Labs builds foundation models that understand tabular data in spreadsheets and databases for researchers and enterprises across science, healthcare, finance, and operations. The privately held company, founded in 2024 and based in Freiburg and Berlin, commercializes its models and tooling; its TabPFN v2 was a Nature cover story and is deployed with Oxford Cancer Analytics for lung disease detection and with Hitachi to help prevent train failures.