ML Engineer, Forward Deployed

Prior Labs is building foundation models that understand tabular data, 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 fundamentally change how organizations work with scientific, medical, financial, and business data.

Momentum: We’re 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 2.5M+ downloads, 5,500+ GitHub stars, and are seeing accelerating adoption across research and industry. We’re now building the next generation of tabular foundation models and actively commercializing them with global enterprises across Europe and the US.

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 the creators of TabPFN and advised by world-leading AI researchers such as 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, 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.

In this role you will 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.

• 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

• Offices in Freiburg, Berlin, San Francisco and NYC 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.