Join Prior Labs!

Who We Are: Prior Labs is building tabular 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 $600B+ 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 was published in Nature and set the new state-of-the-art for structured data ML. Since it’s release, we’ve scaled up 20x in model capabilities, hit 2.5M+ downloads, 5,500+ GitHub stars, and growth is accelerating. We’re now building the next generation of models that combine AI advancements with specialized architectures for tabular data and actively commercializing them with global enterprises across Europe & the US.

The Team: We’re a small team of 20+ permanent hires selected from 5,000+ applicants - building the next generation of foundation models for structured data. Led by the founders behind the TabPFN lineage, we bring together talent from Google, Apple, Amazon, Microsoft, G-Research, Jane Street, Goldman Sachs and CERN, among others. We’re backed by heavyweight advisors including Bernhard Schölkopf and Turing Award winner Yann LeCun. Meet the team here.

What’s Next: Backed by top-tier investors and leaders from Hugging Face, DeepMind, Black Forest Labs and Silo AI, we’re scaling fast. This is the moment to join: help us shape the future of structured data AI. Read our manifesto.

Core Areas of Impact

As an ML Engineer, Integration & Solutions, you'll do more than deploy models—you'll be instrumental in delivering transformative solutions that redefine how organizations harness data. Your role will be at the intersection of cutting-edge AI technology and real-world applications, working directly with our most strategic partners.

What You'll Do:

• Customer Success & Deployment: Work hands-on with clients to deploy models, ensuring they achieve tangible business outcomes and measurable impact.

• Integration Engineering: Design and implement seamless integrations with platforms like Databricks, Snowflake, and complex enterprise ecosystems.

• Tailored AI Solutions: Customize and optimize models for diverse use cases, balancing performance, scalability, and business needs.

• Product Feedback Loop: Gather insights from customer deployments to inform and influence product development, shaping the evolution of our models.

• Cross-Functional Collaboration: Partner with ML researchers, product managers, and engineers to translate groundbreaking research into scalable, production-ready solutions.

What We’re Looking For:

• Strong engineering fundamentals with expert-level Python skills

• Hands-on experience with ML frameworks, particularly PyTorch and Scikit-learn

• Proven track record of deploying ML systems in production environments

• Experience with Databricks, Snowflake, or other enterprise data platforms

• Strategic problem-solving mindset with a strong focus on customer outcomes

• Commitment to writing clean, maintainable, and well-documented code

Bonus Points:

• Experience in forward-deployed engineering or technical customer-facing roles

• Contributions to open-source projects in ML or data engineering

• Proficiency with cloud platforms (AWS, GCP, Azure) and modern data pipelines

• Expertise in APIs, deployment pipelines, and enterprise integration architectures

• Strong communication skills to engage both technical and business stakeholders

Benefits

• Competitive compensation package with meaningful equity (€ 70K - 110K + 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