Full Stack Engineer, ML Platform
Who we are
Foundation models have transformed text and images, but structured data - the largest and most consequential data modality in the world - has remained untouched. Tables power every clinical trial, every financial model, every scientific experiment, every business decision. No one has built a foundation model that truly understands them.
Until now. What LLMs did for language, we're doing for tables.
Momentum: We pioneered tabular foundation models and are now the world-leading organization in structured data ML. Our TabPFN v2 model was published in Nature and set a new state-of-the-art for tabular machine learning. Since its release, we've scaled model capabilities more than 20x, reached 3M+ downloads, 6,000+ GitHub stars, and are seeing accelerating adoption across research and industry - from detecting lung disease with Oxford Cancer Analytics to preventing train failures with Hitachi to improving clinical trial decisions with BostonGene.
The hardest work is in front of us. We're scaling tabular foundation models to handle millions of rows, thousands of features, real-time inference, and entirely new data modalities - while building the infrastructure to deploy them in production across some of the most demanding industries on earth. These are open problems no one else is working on at this level.
Our team: We’re a small, highly selective team of 20+ engineers and researchers, selected from over 5,000 applicants, with backgrounds spanning Google, Apple, Amazon, Microsoft, G-Research, Jane Street, Goldman Sachs, and CERN, led by Frank Hutter, Noah Hollmann and Sauraj Gambhir and advised by world-leading AI researchers such as Bernhard Schölkopf and Turing Award winner Yann LeCun. We ship fast, create top-tier research, and hold each other to an extremely high bar.
What’s Next: In 2025, we raised €9m pre-seed led by Balderton Capital, backed by leaders from Hugging Face, DeepMind, and Black Forest Labs. The next modality shift in AI is happening - and we're hiring the team that makes it.
About the role
We’re looking for exceptional engineers to help build the ML Platform that powers our tabular foundation model line. This is a unique chance to work at the intersection of data science, agents, UX, and real-world economic impact.
You'll work on the product end-to-end: frontend, backend, and everything in between.
What you'll work on:
Build the core platform that puts tabular foundation models into users' hands — from data upload and exploration through inference and results
Architect reliable, low-latency backend services that handle real-time model inference at scale
Work directly with the research team to turn new model capabilities into production features
Own the frontend experience for technical users (data scientists, ML engineers) who have high expectations and low tolerance for friction
You may be a good fit if you have:
3+ years building highly-available, user-facing products across the full stack, with real ownership of what shipped
Experience building data-intensive applications (dashboards, analytics tools, data exploration interfaces, or similar)
Strong JavaScript/TypeScript and Python — you're genuinely good at both, not just passable in one
Good product instincts — you think about what the user actually needs, not just what the ticket says
Comfort working close to ML systems, even if you're not training models yourself — you understand model inputs, outputs, and failure modes well enough to build reliable interfaces around them
Enthusiasm for working in a fast-moving, ambiguous environment where new ideas ship quickly and user impact matters most
Bonus:
Cloud infrastructure experience (GCP preferred)
Background building developer tools, data platforms, or ML-adjacent products
Experience with React, FastAPI, and Postgres (our current stack)
Compensation & Benefits
Competitive compensation package with meaningful equity (We compete with the world's biggest AI companies for talent)
Work with state-of-the-art ML architecture, substantial compute resources, and a world-class team
Annual company-wide offsites to bring the team together (last trip was to the Alps 🏔️)
30 days of paid vacation + public holidays
Comprehensive benefits including healthcare, transportation, and fitness
Support with relocation where needed
Our Commitments
We believe the best products and teams come from a wide range of perspectives, experiences, and backgrounds. That’s why we welcome applications from people of all identities and walks of life, especially anyone who’s ever felt discouraged by "not checking every box."
We’re committed to creating a safe, inclusive environment and providing equal opportunities regardless of gender, sexual orientation, origin, disabilities, or any other traits that make you who you are.