Senior Decision Intelligence Engineer: Healthcare RL (Remote)

Humana Inc; Bismarck (ND); Hybrid; USD 129,000 - 178,000; Full time

Job summary

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

You will own the full RL development lifecycle from feature engineering and reward design through distributed training, evaluation, and production deployment ensuring decisions for 8 million members are informed by a learning policy.

Qualifications

• Bachelor's degree in computer science or related field.
• 8+ years of software engineering experience with data-intensive platforms.
• 3+ years implementing reinforcement learning or deep learning systems in production.
• Proficiency in Python 3.x; PyTorch or TensorFlow.
• Experience with Ray RLlib for distributed RL.
• Experience with Databricks, PySpark, and Delta Lake for large-scale ML pipelines.
• Experience with MLflow for experiment tracking and model registry.

Responsibilities

• Design, implement, and evaluate RL algorithms for healthcare decisioning.
• Define member state representation and action space.
• Instrument training runs with MLflow tracking.
• Own nightly Databricks training workflows and feature engineering.
• Collaborate with data engineering to ensure training inputs are correct.
• Document model behavior and explainability requirements.

Skills

Python

PyTorch/TensorFlow

Ray RLlib

Databricks

PySpark

MLflow

Production RL systems

Education

Bachelor's degree in CS or related field

Tools

Databricks

Delta Lake

Kafka

Redis

Job description

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

You will own the full RL development lifecycle from feature engineering and reward design through distributed training, evaluation, and production deployment ensuring decisions for 8 million members are informed by a learning policy.