Prior Labs
Applied Scientist, Data Science
New York · On-site · Full-time · Posted Jun 25, 2026
- Experience
- 3+ years of hands-on ML/AI experience in industry, competitive ML, or open-source.
- Visa sponsorship
- Visa and relocation support (if required)
About the job
Apply TabPFN tabular foundation models to customer problems, lead engagements from discovery through production, evaluate model performance, and feed findings into product and model development.
What you'll do
- Lead customer engagements, including discovery, demos, onboarding, POCs, and production support.
- Build evaluations on customer data, benchmark against strong alternatives, and communicate results.
- Develop reusable workflows and tooling, and turn customer learnings into findings and roadmap input.
What they ask for
- 3+ years of hands-on ML/AI experience in industry, competitive ML, or open-source.
- Strong Python proficiency and experience training and deploying deep learning models in PyTorch, including modern architectures, especially transformers.
- Ability to explain technical concepts in terms of value and independently lead customer-facing technical engagements across pre-sales, POCs, and post-sales.
- Strong problem-solving, broad ML knowledge, adaptability, communication, and collaboration skills.
Nice to have
- Master’s or PhD in a quantitative field.
- Kaggle Grandmaster, Master, or Expert status; technical consulting, solutions engineering, or forward-deployed experience; open-source contributions, technical writing, talks, or workshops.
Tools
Python, PyTorch, transformers, TabPFN
AI focus
Apply and improve tabular foundation models on customer data through rigorous benchmarking, fine-tuning, feature engineering, ensembling, in-context learning, calibration, and interpretability.
Model-written summary · the original posting is authoritative