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Research Engineer, RL Scaling Science

AnthropicLondon, UKAI Research & Engineering
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Salary
Not listed
Job type
Full-time
Posted
22 Jun 2026
Status
Open · checked 7d ago

About this role

This Research Engineer, RL Scaling Science position at Anthropic in London, UK, offers a hybrid opportunity for professionals passionate about shaping frontier artificial intelligence systems. The role suits individuals with strong empirical research skills who want to investigate reinforcement learning scaling behaviors and translate findings into production training recipes.

Role Overview

Anthropic is hiring a Research Engineer for its RL Scaling Science team in London. The position focuses on studying reinforcement learning across model size, compute, and task horizons. Personnel will design large-scale experiments, resolve scaling bottlenecks, build benchmarks, and ship validated findings directly into production training runs.

Key Responsibilities

Design, execute, and interpret large-scale reinforcement learning experiments with rigorous data reasoning.
Investigate how reinforcement learning improves as horizons, compute, and model sizes grow.
Build and maintain reproducible benchmarks for long-horizon reinforcement learning.
Translate validated experimental findings directly into production training recipes.
Debug complex issues at the intersection of research and large-scale infrastructure.
Partner with adjacent research and engineering teams to advance the overall reinforcement learning stack.

Requirements

Strong empirical research background in Reinforcement Learning, large-scale machine learning training, or closely adjacent areas.
Demonstrated ability to independently own large experiments end-to-end from design to interpretation.
Proficiency in Python alongside practical experience with distributed machine learning systems.
Comfort operating at the boundary of research and systems engineering for debugging purposes.
Genuine care regarding the societal impacts of artificial intelligence and responsible scaling.
Minimum education of a Bachelor’s degree in a relevant field of study, or an equivalent combination of education, training, and experience.

Nice to Have

Published or shipped work focusing on long-horizon reinforcement learning or fundamental RL concepts.
Direct experience translating research findings into active production training recipes.
Demonstrated industry impact at scale via reinforcement learning interventions.
Prior hands-on experience working on frontier-scale training runs featuring long trajectories.

Skills and Tools

Python
Large-scale and distributed ML systems
Reinforcement Learning frameworks
Custom long-horizon RL benchmarks

Salary and Benefits

Annual Salary: £375,000 to £640,000 GBP
Visa sponsorship available with immigration lawyer support
Optional equity donation matching
Generous vacation and parental leave policies
Flexible working hours
Location-based hybrid policy requiring at least 25% time in the London office

About the Company

Anthropic operates as a public benefit corporation dedicated to creating reliable, interpretable, and steerable artificial intelligence systems that remain safe and beneficial for society. The organization approaches AI research as an empirical science akin to physics and biology, bringing together committed researchers, engineers, policy experts, and business leaders to work as a single cohesive team.

How to Apply

Candidates should submit their applications directly through the official Anthropic careers page to ensure secure communication and avoid recruitment scams.

Skills and tech stack

Python

Questions candidates ask

What is the salary range for the Research Engineer role?

The annual salary ranges from £375,000 to £640,000 GBP.

Is this a remote position?

No, this is a hybrid role located in London, UK. Staff are expected to work from the office at least 25% of the time.

Does Anthropic provide visa sponsorship for this job?

Yes, Anthropic sponsors visas for this role and retains an immigration lawyer to assist successful candidates with the process.

What programming language is required?

Proficiency in Python is required, along with experience working with large-scale or distributed machine learning systems.

How should I apply for this position?

You should apply directly on the official Anthropic careers page to ensure your application is secure and legitimate.

Ready to apply?

The application is on the official Anthropic careers page.

Apply on company site