Research Engineer, RL Scaling Science

Responsibilities

Our client, a leading AI research organisation, is seeking a Research Engineer to join their RL Scaling Science team in London. In this role, you will:

• Design, run, and interpret large-scale reinforcement learning experiments, reasoning rigorously about what the data does and doesn't show
• Investigate how RL improves as horizon, compute, and model size grow
• Build and maintain benchmarks for long-horizon RL so progress is measurable and reproducible
• Translate validated findings into production training recipes, exercising judgment about when a result is robust enough to ship
• Debug complex issues at the seam where research meets infrastructure—failures that only appear at scale
• Partner closely with adjacent RL teams across research and engineering and advance the overall RL stack

This role lives at the boundary between research and engineering. The problems are open, the experiments run at frontier scale, and the path from a robust result to production is short.

What We're Looking For

Required qualifications:

• Strong empirical research skills in Reinforcement Learning, large-scale ML training, or a closely adjacent area
• Demonstrated ability to own large experiments end-to-end, from design through interpretation
• Proficiency in Python and experience working with large-scale or distributed ML systems
• Comfort operating at the research/systems boundary, including debugging where the two meet
• Bachelor's degree in a relevant field or an equivalent combination of education, training, and experience
• Care about the societal impacts of AI and responsible scaling

Preferred qualifications:

• Published or shipped work in long-horizon RL or RL fundamentals
• Experience translating research findings into production training recipes
• Demonstrated large-scale industry impact via RL interventions
• Experience working on frontier-scale training runs with long trajectories

Location: London. The role follows a hybrid policy with an expectation to be in the office at least 25% of the time.

Visa sponsorship: Available for suitable candidates, though not guaranteed for every role. The client retains immigration counsel to assist with the process.

How We Work With You

As a recruiting partner representing this confidential AI research client, our talent team at Get A Job.ai will guide you through the following process:

• Apply through the Get A Job.ai platform
• A recruiter from our team will conduct an initial screening to understand your background and assess fit
• We will submit qualified candidates directly to our client for consideration
• Please do not contact the client directly—all communication should go through Get A Job.ai

Pay

This is a full-time permanent position. Compensation details will be discussed with qualified candidates during the screening process.

Equal Employment Opportunity: Get A Job.ai is committed to fair and equitable recruiting practices. We encourage applications from candidates of all backgrounds and do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.