Lead RL Engineer — Remote Healthcare Decisioning

Humana Inc; United States; On-site; USD 129,000 - 178,000; Full time

Job summary

Humana Inc. seeks a Decision Intelligence Engineer to design, train, and continuously improve its reinforcement learning policy for the Next Best Action platform. You will own the full RL lifecycle from feature engineering and reward design to distributed training and production deployment.

The role focuses on healthcare outcomes, explainability, and auditable decisioning. Remote/Hybrid work is available, with preference for Boston-area collaboration and some travel as needed.

Qualifications

• Bachelor's degree in computer science or related field.
• 8+ years of software engineering for data-intensive production systems.
• 3+ years implementing reinforcement learning or DL systems in production.
• Deep familiarity with Bellman equation, reward shaping, and exploration‑exploitation tradeoffs.

Responsibilities

• Design, implement, and evaluate RL algorithms for healthcare decisioning.
• Build safety and evaluation gates for production RL policies.
• Own nightly training pipelines and data engineering integrations.

Skills

Python

PyTorch/TF

Reinforcement learning

Ray RLlib

Databricks PySpark

MLflow

Delta Lake

Production systems

Healthcare domain

Education

Bachelor's degree

Tools

Databricks

TensorFlow

Keras

Job description

Humana Inc. seeks a Decision Intelligence Engineer to design, train, and continuously improve its reinforcement learning policy for the Next Best Action platform. You will own the full RL lifecycle from feature engineering and reward design to distributed training and production deployment.

The role focuses on healthcare outcomes, explainability, and auditable decisioning. Remote/Hybrid work is available, with preference for Boston-area collaboration and some travel as needed.