About the role

Job Title Job Description: Must Have Technical/Functional Skills Experience: 3+ years building and deploying enterprise scale decision systems. Hands-on experience with implementing policy gradient methods (PPO, A3C), value-based approaches (DQN, Q-learning) and off-policy algorithms. Deep familiarity with the Bellman equation, reward shaping, exploration-exploitation tradeoff, constraint mapping and knowing common failure points of real-world reinforcement learning systems. Ability to diagnose issues with policy learning and collapse, credit assignment issues, and distributional shifts affecting performance of the model.
Key Skills: Deep learning frameworks (tensorflow, pytorch), linear programming, Markov decision processes, Actor-Critic methods, Offline RL methods (CQL, Decision Transformer), probabilistic modeling, databricks, Ray RLLib, Gymnasium, Petting Zoo (MARL).

Matching similar jobs

JOB OVERVIEW

Experience level

Senior

Location

Louisville, KY

Occupation

Data Scientists

Industry

Custom Computer Programming Services

Posted

yesterday

Tired of running searches?

Rank the roles you'd take once, and matches like these arrive on their own.

CREATE PROFILE