Applied Scientist, AI

Tech Stack

Responsibilities

• Turn ambiguous healthcare, product, and operational problems into well-posed ML, AI, ranking, optimization, NLP, or LLM-based tasks
• Develop, build, and improve models using Python and standard ML/AI tooling such as PyTorch, scikit-learn, and Hugging Face
• Design rigorous offline and online evaluations, error analysis, and statistical tests to ensure real-world impact and reliability
• Partner with ML engineering to productionize models and define operational requirements for deployment
• Collaborate with clinical stakeholders and subject-matter experts to validate model assumptions and review performance

Benefits

• 401k
• Equity
• Health Insurance
• Parental Leave

Culture

Requirements