Principal Applied Machine Learning Scientist
Tasks
- Apply decision and recommendation policies
- Collaborate with MLOps and engineering for production deployment
- Define objective functions and reward signals
- Design next best action algorithms
- Develop health trajectory models
- Lead health trajectory research
- Mentor scientists on temporal modeling reinforcement learning causal inference
- Predict future member states and risks
- Serve as senior lead for algorithm evaluation rigor
- Set policy constraints for clinical effectiveness and fairness
- Translate predicted trajectories into intervention decisions
Perks/Benefits
- 401k plan
- Dental insurance
- Flexible time off
- Generous parental leave
- Health insurance
- Lifestyle spending account
- Mental health support
- Remote-first
- Vision insurance
Skills/Tech-stack
AWS SageMaker | Causal Inference | Decision Making | Longitudinal Modeling | MLOps | Machine Learning | Model Evaluation | Python | Recommendation Systems | Recommender Systems | Reinforcement Learning | Time Series
Education
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