Research Scientist, Foundation Model

The role

Research Scientists will advance foundation models for structured data. You will develop models and learning methods that generalize across datasets and tasks.

What you will do

• Identify worthwhile research questions
• Design experiments that distinguish between competing explanations
• Take ownership of projects through to publications and model releases
• Implement and run experiments
• Interpret results
• Work closely with research engineers to turn promising ideas into reliable models

Required qualifications

• Track record of original research contributions through publications, influential open-source work, benchmarks, or deployed methods
• Strong experience developing and analyzing machine learning models
• Ability to implement, train, and debug methods in PyTorch
• Solid understanding of training dynamics, generalization, and common failure modes in deep learning systems
• Strong experimental judgment
• Excellent engineering fundamentals
• Strong Python skills
• Track record of writing high-quality research code
• Intellectual honesty and constructive collaboration

Nice to have

• Research experience in tabular data, time series, relational learning, causal inference, or recommender systems
• Experience at an early-stage startup or research lab that regularly releases models or systems
• Contributions to open-source ML libraries or tools
• Experience with model scaling, distillation, inference optimization, or efficient architectures

About the company

Prior Labs is an independent frontier AI lab backed by SAP. The team works on tabular foundation models.