Research Scientist / Engineer – Reinforcement Learning Infrastructure
- Type
- Job
- Organization
- Lumaai
- Location
- London, UK
- Deadline
- Rolling or not stated
- Who can apply
- On-site in London, UK
- Posted
- 10 October 2026
- Skills mentioned
- PyTorch, Kubernetes
About this Opportunity
You'll build the systems that make reinforcement learning work at frontier scale — coupling policy optimization with large fleets of inference workers, agentic environments, and the reward and verification systems that turn model behavior into learning signal. RL is how Luma's models go from capable to useful.RL at scale is a full-loop systems problem: training, rollout generation, environment execution, and reward computation running concurrently across thousands of GPUs, all needing to stay fast, stable, and correct together.
Documents you may need
- Updated CV / Resume
- Cover Letter (tailored to this role)
How to apply
- Click the "Apply — via Arbeitnow" button to go to the source page.
- Read the full description and confirm you meet the requirements.
- Prepare your CV and cover letter tailored to this role.
- Submit your application through the official portal.
- Follow up within 1–2 weeks if you do not hear back.
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