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
As the Developer Relations - Founding Role at Prior Labs, you will be the technical face of Prior Labs, responsible for nurturing a vibrant community around our foundation models. As the first DevRel hire, you will create and share meaningful content, build samples and tutorials, improve documentation, and contribute code when needed. You'll directly engage with data scientists through social media, blogs, Discord, GitHub, and at events, providing insights and support while collecting feedback that directly influences what we build. This role requires a unique balance: you must be technical enough to earn credibility with ML engineers and social enough to build genuine relationships with our developer community.
What This Actually Looks Like
Your week balances technical building with community engagement:
Technical work (~60%): Write Python demos and Colab notebooks, contribute bug fixes and improvements to our repos, create tutorials showing real TabPFN use cases, experiment with the model on diverse datasets, build sample applications
Community work (~40%): Answer questions on Discord and GitHub, host community office hours, share content and engage on social media, gather and synthesize developer feedback, organize virtual events or hackathons
Core Areas of Impact
Build & Engage
Be the active, helpful voice of Prior Labs across Discord, GitHub, social media, and data science communities
Provide technical support: answer developer questions, help debug issues, contribute bug fixes based on community feedback
Organize community initiatives like virtual meetups, hackathons, or ambassador programs
Participate in data science communities and competitions (Kaggle, etc.) to showcase TabPFN and build credibility
Create & Educate
Ship technical content that helps data scientists succeed: tutorials, demos, Colab notebooks, blog posts, comparative analyses
Build resources from scratch: identify use cases, gather data, implement solutions, showcase results
Maintain and improve technical documentation based on community feedback
Experiment with TabPFN on diverse datasets to discover and demonstrate capabilities
Product Led growth
Partner with the founding team to shape DevRel strategy and priorities
Synthesize community feedback and translate it into actionable product insights
Build relationships with data science practitioners, influencers, and partners for content collaboration
Track and optimize community metrics (engagement, adoption, content reach)
What We're Looking For
Technical foundation
Technical background with Bachelor's or Master's in Computer Science, Data Science, or related field
Strong Python skills and ability to write clean, functional code
Solid ML fundamentals: you understand training, fine-tuning, inference, and can work with frameworks like scikit-learn, PyTorch, or similar
Proven track record of technical work in public - we need to see your contributions (open source PRs, technical blog posts, GitHub projects, conference talks, etc.)
Community building
You've actively participated in and contributed to technical communities (GitHub, Discord, Stack Overflow, Twitter/X, Reddit, etc.)
Excellent written and verbal communication - you can explain complex ML concepts clearly to practitioners
Comfortable being a public face - you enjoy developer engagement on social media, forums, and at events
Experience
3+ years in developer relations, community management, technical content creation, ML engineering with community involvement, or similar roles where you've bridged technical and community work
Track record of creating technical content that developers actually use and reference
What Makes You Special
You've competed in Kaggle or similar data science competitions
Background as a data science or ML engineering practitioner
Experience with AutoML, MLOps, or foundation models
You've built or grown technical communities (Discord, GitHub, forums) from scratch
You've organized technical events, hackathons, or conferences
Active network in the data science/ML community
Open source maintainer or frequent contributor
Public speaking experience at technical conferences or meetups
Location
Offices in Freiburg, Germany - a university city at the edge of the Black Forest, Switzerland and France, and Berlin—a global tech hub and one of Europe’s most dynamic cities
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.
