Democratizing data access through tabular AI technology
Prior Labs, based in Freiburg, Germany, specializes in advanced tabular AI technology that simplifies data analysis for users across various industries. Their flagship product enables organizations to democratize data access, allowing teams to derive insights without needing extensive technical expe...
Prior Labs offers competitive salaries, flexible remote work options, and a supportive environment for innovation and creativity. Employees benefit fr...
Prior Labs fosters a culture of innovation and accessibility, emphasizing the importance of making data insights available to everyone. The team value...
Who We Are: Prior Labs is building breakthrough foundation models that understand spreadsheets and databases - the backbone of science and business. Foundation models have transformed text and images, but structured data has remained largely untouched. We're tackling this $100B+ opportunity to revolutionize how we approach scientific discovery, medical research, financial modeling, and business intelligence.
Our Momentum: We're the world-leading organization working on structured data, and we're accelerating fast. Our TabPFN v2 model, recently published in Nature, sets the new state-of-the-art for structured data. We've hit 2.2M+ downloads, 5,000+ GitHub stars, and growth is accelerating. We're now building the next generation of models that combine AI advancements with specialized architectures for structured data.
What's Next: With €9M in pre-seed funding from top-tier investors and backing from leaders at Hugging Face, DeepMind, and Silo AI, we're scaling fast and building our team. This is the moment to join: help us shape the future of structured data AI. Read our manifesto.
You'll join our data science team working with an entirely new class of AI models. As a Data Scientist at Prior, you'll be a critical link between our breakthrough technology and real-world applications. As a super-user of our foundation models, you'll deeply understand our technology's capabilities, demonstrate compelling use cases, and help shape our product roadmap.
In this multifaceted role, you'll wear several hats and connect different aspects of our business. Here's how you'll drive impact across key areas:
Be a Power User & Tinkerer: Dive deep into our novel TFMs (like TabPFN), experiment relentlessly using unique capabilities like ICL, and uncover new applications.
Demonstrate Groundbreaking Value: Build compelling proof-of-concepts showing how native tabular AI solves problems traditional methods can't.
Shape Agentic Data Science: Contribute hands-on to our vision of AI as a true reasoning partner for automated discovery.
Grow With Us: Make a significant impact in a well-funded startup with strong momentum.
Applied Data Science & Experimentation: Identify high-impact use cases; build compelling PoCs/demos showcasing TFM advantages; develop best-practice workflows; benchmark rigorously.
Customer Success: Engage users to understand challenges; showcase TFM value via technical demos linked directly to user business objectives; guide onboarding for quick wins using ICL; translate feedback into technical insights.
Community & Education: Design/deliver engaging workshops/tutorials; create content explaining the TFM paradigm shift vs. LLMs/traditional ML; empower community members (Kaggle, GitHub); share your enthusiasm and findings.
Passionate Tinkerer & Power User: Deep curiosity for hands-on exploration of cutting-edge AI (PFNs, ICL, native architectures).
Proven Data Scientist: PhD/Masters in a quantitative field + 3 yrs experience building/deploying ML/AI (industry, Kaggle, open-source).
Technical Expertise: Deep Python & data science ecosystem knowledge; strong software engineering practices.
Communicator: Ability to translate complex tech into tangible value and explain concepts clearly.
Excitement for our Mission: Driven to solve fundamental AI problems for structured data.
Kaggle: Grandmaster/Master/Expert status.
Experience: Technical Consulting, Solutions Engineering, MLOps, Developer Advocacy.
Contributions: Open-source libraries, data science tools.
Portfolio: Blog posts, talks, projects showcasing technical communication.
Offices in San Francisco, NYC, Berlin, and Freiburg, with flexibility to work across our locations
Competitive compensation package with meaningful equity
30 days of paid vacation + public holidays
Comprehensive benefits including healthcare, transportation, and fitness
Work with state-of-the-art ML architecture, substantial compute resources and with a world-class team
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.
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