Home / Jobs / Data Scientist, Reinforcement Learning

Data Scientist, Reinforcement Learning

ExxonMobil Corporation
📍 Spring, Texas, United States 💼 Full-time 🕒 Posted June 07, 2026
Apply Now Similar Jobs

Job Description

What you will do

  • Design, develop, and deploy reinforcement learning solutions for real-world energy applications such as production optimization, process control, supply chain scheduling, drilling optimization, and resource allocation.

  • Formulate sequential decision problems by defining state spaces, action spaces, reward structures, transition dynamics, and operational constraints with domain experts.

  • Develop RL agents using model-free methods (, PPO, SAC, TD3, DQN where appropriate) and model-based approaches, selecting methods based on problem requirements, safety, and data availability.

  • Build and use simulation environments and digital twins for offline training, policy evaluation, and validation before real-world deployment.

  • Apply safe and constrained RL techniques to ensure agents operate within operational and safety limits.

  • Integrate RL solutions with existing optimization, simulation, and contr...

    • Ready to Apply?

    Submit your application today and join our talented team at ExxonMobil Corporation.

    Submit Application

    Job Details

    • Location Spring, Texas
    • Job Type Full-time
    • Category Mathematical Science Occupations
    • Posted Date June 07, 2026
    • Application Deadline July 17, 2026