# Lead Decision Intelligence Engineer - NBA at human

- Company: human
- What the company does: human is an ai-enabled dating app for those ready for love . . . now. we are changing the future of how people find their person. Backed by Techstars.
- Company website: https://myhumanapp.com
- Type: Startups (AI role)
- Level: Senior
- Location: Remote Nationwide
- Work setup: Remote
- Pay: $129K to $178K base salary per year (USD)
- Posted: 2026-09-28
- Apply by: 2026-11-12
- Apply: https://humana.wd5.myworkdayjobs.com/en-US/Humana_External_Career_Site/job/Remote-Nationwide/Lead-Decision-Intelligence-Engineer---NBA_R-426822
- Page: https://www.1752.vc/careers/jobs/human-lead-decision-intelligence-engineer-nba/

## About the role

Become a part of our caring community and help us put health first.We are 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.

## What they're looking for

- 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, recommendation systems, or optimization engines serving millions of users
- 3+ years of hands-on experience implementing reinforcement learning or deep learning systems in production policy gradient methods (PPO, A3C), value-based approaches (DQN, Q-learning), or offline RL algorithms (CQL, Decision Transformer)
- Deep familiarity with the Bellman equation, reward shaping, exploration-exploitation tradeoff, and constraint mapping in real-world RL systems
- Demonstrated ability to diagnose RL-specific failure modes: policy collapse, credit assignment issues, and distributional shift across large populations
- Proficiency in Python 3.x, experience with PyTorch or TensorFlow for policy network implementation