Senior Decision Intelligence Engineer (NBA)
Tasks
- Build and operate production systems
- Collaborate with data engineers
- Collaborate with platform engineers
- Design reinforcement learning policies
- Diagnose learned policy failure modes
- Ensure decisions meet program objectives
- Ensure policy meets clinical eligibility constraints
- Evaluate decision making algorithms
- Improve reinforcement learning policies
- Instrument training pipelines
- Train reinforcement learning models
Perks/Benefits
- 401k
- Dental insurance
- Flexible schedule
- Health insurance
- Life insurance
- Long-term disability
- Paid caregiver leave
- Paid parental leave
- Paid time off
- Remote/hybrid
- Short-term disability
- Vision insurance
Skills/Tech-stack
Bellman Equation | Constraint Formulation | Constraint Programming | Databricks | Delta Lake | Discrete Event Simulation | Discrete event | Distributed Training | Dynamic Programming | Event simulation) | Exploration/exploitation | Gymnasium | Integer Programming | Lagrangian Relaxation | Linear Programming | MLflow | Markov Decision Process | Mixed Integer | Mixed-Integer Programming | OpenTelemetry | Optimization | Policy Gradient | PySpark | PyTorch | Python | Ray RLlib | Reinforcement Learning | Reward shaping | SimPy | Simulation | Stochastic Dynamic Programming | TensorFlow | Value Based Reinforcement Learning | Value-based
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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