Research Engineer, Machine Learning (RL Velocity)
About this role
The Research Engineer, Machine Learning (RL Velocity) position at Anthropic is based in London, UK, and suits engineering professionals focused on building and scaling high-performance machine learning infrastructure. This role focuses on optimizing reinforcement learning systems to help researchers train and ship advanced AI models faster.
Role Overview
In this position, the engineer joins the RL Velocity team to own the performance, reliability, and efficiency of the reinforcement learning science stack. The work involves creating robust tooling and core platforms that remove research bottlenecks and compound productivity across the organization. Staff operate under a location-based hybrid policy, requiring attendance in the London office at least 25 percent of the time.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Anthropic functions as an AI safety and research company that aims to create reliable, interpretable, and steerable artificial intelligence systems. Operating as a public benefit corporation, the organization treats AI research as an empirical science akin to physics and biology, tackling large-scale efforts collaboratively. The company values impactful work aligned with long-term safety goals and fosters a cohesive team environment.
How to Apply
Interested candidates should submit their application directly through the official Anthropic careers page.
Skills and tech stack
Questions candidates ask
Where is the Research Engineer position located?
The role is based in London, UK, with a location-based hybrid policy requiring staff to be in the office at least 25% of the time.
What is the annual salary range for this role?
The annual salary range is between £370,000 and £630,000 GBP.
Does Anthropic offer visa sponsorship for this position?
Yes, Anthropic sponsors visas and retains an immigration lawyer to assist candidates who receive an offer.
What are the main focus areas for the RL Velocity team?
The team owns the efficiency, reliability, and tooling of the reinforcement learning science stack to help researchers iterate quickly.
What educational background is required?
Candidates must hold a Bachelor’s degree or an equivalent combination of education, training, and experience in a relevant field.