Applied Scientist, Data Science

The role

You will work on tabular foundation models by bridging the gap between models and customer problems. You will guide customers through discovery, demos, POCs, and production while feeding field learnings back to the model team.

What you will do

• Guide customers to success with TabPFN through discovery calls, technical demos, and onboarding
• Provide hands-on support as teams move from POC to production
• Run projects on real customer data using evaluation harnesses and benchmarking
• Perform fine-tuning, feature engineering, ensembling, in-context learning, calibration, and interpretability
• Turn one-off wins into reusable workflows and tooling
• Turn field learnings into reproducible findings, benchmarks, and roadmap input

Required qualifications

• 3+ years of hands on experience with ML/AI in industry, competitive ML, or open-source
• Strong proficiency in Python and the modern data science ecosystem
• Hands-on experience training and deploying deep learning models in PyTorch, including modern deep learning architectures especially transformers
• Ability to translate complex technical concepts into tangible value for both technical and non-technical audiences
• Strong customer-facing skills to independently drive technical conversations and engagements
• Strong problem-solving skills to translate unfamiliar customer problems into practical data science/ML solutions
• Broad ML knowledge and the ability to quickly adapt to new domains and problems
• Strong communication and collaboration skills

Nice to have

• Master’s or PhD in a quantitative field
• Kaggle Grandmaster, Master, or Expert status
• Experience in technical consulting, solutions engineering or forward-deployed roles
• Experience with PyTorch, transformers, tabular data, or other modern ML approaches
• Contributions to open-source projects, technical writing, talks, or workshops

Benefits

• SAP RSUs (Publicly traded, liquid once vested)
• 20 days paid vacation
• Health, dental and vision 100% employer-paid
• Fitness and transportation allowances
• 401k matching (2%, one-year cliff)
• Opportunity to publish your work
• Team offsites at least once a year
• Visa and relocation support (if required)

About the company

Prior-labs is an independent frontier AI lab backed by SAP that develops tabular foundation models. The team is small and highly selective with backgrounds from companies like Google, DeepMind, and Meta.