About the role
An internship exploring where reinforcement learning and decision-making agents are useful for real operations problems, such as scheduling, pricing and routing.
What you will do
- Frame operational problems as decision problems and build simple simulations
- Train and compare agents against rule-based baselines
- Measure whether an agent is safe and stable enough to recommend
- Write clear summaries of results and limits
What we are looking for
- Currently studying computer science, data science, engineering or a related subject, or graduated in the last year
- Python and an introduction to reinforcement learning
- Comfort with probability and optimization basics
Nice to have
- Experience with Gymnasium, Stable-Baselines3 or Ray RLlib
- Interest in AI agents built on language models
Where and how
Houston, London or remote, with a daily overlap with the team in Houston or London. Internships run for an agreed period, usually alongside a live client or internal project, and start dates are flexible.
About Pylogix
Pylogix designs and builds custom software, AI features and online stores for companies in the United States and the United Kingdom. You will work on real client products in small teams, with code review on every change. Read more about us.
Apply using the form on this page. A person reads every application.
Job Category: Research Intern Machine Learning Engineer Reinforcement Learning Engineer
Job Type: Intern
Job Location: Remote Houston London