ML Engineer, Forward Deployed

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.

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 (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

• 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.