Decision Intelligence Engineer - RL for Next-Best Action

Humana Inc; Columbus (OH); Hybrid; USD 129,000 - 178,000; Full time

Job summary

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

You will own the full RL lifecycle from feature engineering to distributed training and production deployment, ensuring decisions for our 8 million members are guided by a learnable, auditable policy. This hands-on, research-oriented role requires implementing RL algorithms, building training pipelines in Databricks, and

Qualifications

• Bachelor's degree in computer science or related field.
• 8+ years of software engineering experience building and operating large-scale production systems, with emphasis on data-intensive platforms.
• 3+ years of hands-on experience implementing reinforcement learning or deep learning systems in production.
• Proficiency in Python 3.x; experience with PyTorch or TensorFlow for policy network implementation.
• Experience with Ray RLlib for distributed RL training at scale.
• Experience with Databricks, PySpark, and Delta Lake for large-scale ML pipelines.
• Experience with MLflow for experiment tracking, model registry, and artifact management.
• Track record of shipping ML systems that operate reliably under production load.

Responsibilities

• Design, implement, and evaluate RL algorithms suited to long-horizon, sparse-reward healthcare decisioning.
• Define and maintain member state representation and action space for onboarding programs.
• Apply Bellman equation, reward shaping, and constraint mapping into RL objectives.
• Manage exploration-exploitation tradeoffs in a production healthcare environment.
• Build simulation and backtesting environments to evaluate policy quality before production.
• Diagnose RL failure modes and ensure robust performance in production.

Skills

Software engineering

Reinforcement learning in production

Python

PyTorch or TensorFlow

Ray RLlib

Databricks / PySpark

MLflow

Explainability & compliance awareness

Education

Bachelor's degree in computer science or related field

Tools

Databricks

PySpark

Delta Lake

MLflow

Ray RLlib

Job description

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

You will own the full RL lifecycle from feature engineering to distributed training and production deployment, ensuring decisions for our 8 million members are guided by a learnable, auditable policy. This hands-on, research-oriented role requires implementing RL algorithms, building training pipelines in Databricks, and