Job Description

**Your role on our team**

Pioneer the application of reinforcement learning (RL) and sequential decision-making to high-impact challenges across ExxonMobil's upstream, downstream, and commercial operations.

Collaborate with engineers, scientists, and business stakeholders to turn complex operational and planning problems into deployable, production-grade RL solutions.

Advance the organization's capabilities in reinforcement learning, decision optimization, and autonomous control as part of the Modeling, Optimization, and Data Science (MODS) team.

**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 do...

Apply for this Position

Ready to join ExxonMobil? Click the button below to submit your application.

Submit Application