Senior Decision Intelligence Engineer: RL for Production

Humana Inc; Richmond (VA); Hybrid; USD 107,000 - 147,000; Full time

Job summary

Humana Inc. is seeking a Senior Decision Intelligence Engineer to design, train, and improve reinforcement learning policies at the heart of Humana's Next Best Action platform.

This hands-on, research-oriented role will span design, evaluation, and instrumentation of training pipelines, with collaboration across data and platform engineers in a healthcare context. You will influence technical direction across front-end, back-end, database integrations, and hosting, while ensuring compliance with

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 with shipping systems that operate reliably under production load, not just research or prototype work.

Responsibilities

• Design, train, and improve reinforcement learning policies for Humana's Next Best Action platform.
• Instrument training pipelines and evaluate decision-making algorithms in production.
• Collaborate with data and platform engineers to ensure robust, auditable, and scalable solutions in healthcare contexts.

Skills

Reinforcement learning

Python

PyTorch

TensorFlow

Ray RLlib

Databricks

PySpark

Delta Lake

MLflow

Production systems

Tools

Databricks

PySpark

Delta Lake

MLflow

Job description

Humana Inc. is seeking a Senior Decision Intelligence Engineer to design, train, and improve reinforcement learning policies at the heart of Humana's Next Best Action platform.

This hands-on, research-oriented role will span design, evaluation, and instrumentation of training pipelines, with collaboration across data and platform engineers in a healthcare context. You will influence technical direction across front-end, back-end, database integrations, and hosting, while ensuring compliance with