Senior RL Decision Intelligence Engineer | Remote

Humana; Boston (MA); Hybrid; USD 107,000 - 147,000; Full time

Job summary

Humana is seeking a Senior Decision Intelligence Engineer to design, train, and improve the reinforcement learning policy at the heart of Humana's Next Best Action platform. This hands-on, research-oriented role involves designing and evaluating decision-making algorithms and collaborating with data and platform engineers.

The role spans front-end to back-end development, ensuring production-ready systems that respect clinical eligibility rules and program goals, with opportunities to influence

Qualifications

• 5+ years (post undergraduate level) of software engineering or quantitative research experience building and operating large-scale production systems, with emphasis on data-intensive platforms, recommendation systems, optimization engines, or simulation frameworks serving millions of users.
• 2+ years (post graduate level) of software engineering or quantitative research experience building and operating large-scale production systems, with emphasis on data-intensive platforms, recommendation systems, optimization engines, or simulation frameworks serving millions of users.
• 2+ years of hands-on experience implementing reinforcement learning, operations research methods, or simulation-driven decision systems in production.
• Deep familiarity with Markov Decision Processes, Bellman-equation-based value estimation, reward or objective shaping, exploration-exploitation tradeoffs, and constraint formulation in real-world decision systems.
• Demonstrated ability to diagnose failure modes in learned or optimized policies: instability, poor credit assignment across long horizons, and distributional shift across large populations.
• Proficiency in Python 3.x; experience with PyTorch or TensorFlow for policy network or learned model implementation.
• Experience with Ray RLlib or equivalent distributed computation frameworks for large-scale training or optimization.
• Experience with Databricks, PySpark, and Delta Lake for large-scale ML or data pipelines processing tens of millions of records.
• Experience with MLflow for experiment tracking, model registry, and artifact management.
• Experience shipping systems that operate reliably under production load, not just research or prototype work.

Responsibilities

• Design, train, and improve the reinforcement learning policy at the heart of Humana's Next Best Action platform.
• Instrument training pipelines and collaborate with data and platform engineers.
• Ensure the system operates correctly within clinical eligibility rules and program-specific objectives.

Skills

Reinforcement learning

Python

PyTorch

TensorFlow

Ray RLlib

MLflow

Delta Lake

PySpark

Databricks

Data pipelines

Tools

Gymnasium

SimPy

AnyLogic

Job description

Humana is seeking a Senior Decision Intelligence Engineer to design, train, and improve the reinforcement learning policy at the heart of Humana's Next Best Action platform. This hands-on, research-oriented role involves designing and evaluating decision-making algorithms and collaborating with data and platform engineers.

The role spans front-end to back-end development, ensuring production-ready systems that respect clinical eligibility rules and program goals, with opportunities to influence