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Research Engineer, Machine Learning (RL Velocity)

AnthropicRemote-Friendly (Travel-Required) | San Francisco, CA | New York City, NYAI Research & Engineering
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
23 Apr 2026
Status
Open · checked 7d ago

About this role

Role Overview

The Research Engineer, Machine Learning (RL Velocity) position at Anthropic is a remote-friendly role based out of San Francisco, CA or New York City, NY, requiring travel. This position suits software and machine learning professionals who want to optimize core infrastructure and empower researchers to ship better models faster.

Key Responsibilities

Build and improve the reinforcement learning training infrastructure that researchers depend on daily.
Identify and remove bottlenecks across the reinforcement learning stack through debugging, profiling, and rearchitecting.
Partner closely with researchers and adjacent engineering teams like inference and sandboxing to ship helpful tooling.
Own the reliability and performance of research runs end-to-end.
Contribute to design decisions that shape how reinforcement learning is performed at scale.

Requirements

Strong software engineering fundamentals with a track record of building performant, reliable systems.
Experience working on machine learning infrastructure, distributed systems, or research tooling.
Focus on enabling other people's work and finding leverage through platforms.
Comfort operating across the entire stack, spanning low-level performance work and reinforcement learning algorithms.
A bias toward shipping and iterating quickly, maintaining high agency and low ego.
Minimum education of a Bachelor’s degree or an equivalent combination of education, training, and experience in a relevant field.

Nice to Have

Experience with large-scale distributed training across reinforcement learning, pre-training, or post-training.
Familiarity with JAX, PyTorch, or similar machine learning frameworks.
A track record of operating at the edge of research and infrastructure in a fast-moving environment.

Skills and Tools

PyTorch
JAX
Large-scale distributed training infrastructure
Machine learning frameworks and research tooling

Salary and Benefits

Annual salary ranging from $500,000 to $850,000 USD.
Competitive compensation and benefits package.
Optional equity donation matching.
Generous vacation and parental leave.
Flexible working hours and collaborative office spaces.
Visa sponsorship available with immigration lawyer support.

About the Company

Anthropic is a public benefit corporation headquartered in San Francisco with a mission to create reliable, interpretable, and steerable AI systems. The organization treats AI research as an empirical science, functioning as a single cohesive team focused on large-scale research efforts to ensure artificial intelligence is safe and beneficial for society.

How to Apply

Interested candidates should visit the official Anthropic careers page to submit an application and review open positions.

Skills and tech stack

PyTorch

Questions candidates ask

What is the location for the Research Engineer, Machine Learning role?

The role is remote-friendly with required travel, based out of San Francisco, CA or New York City, NY, operating under a hybrid policy where staff are expected in an office at least 25% of the time.

What is the salary range for this position?

The annual base salary ranges from $500,000 to $850,000 USD.

Does Anthropic offer visa sponsorship?

Yes, Anthropic sponsors visas and retains an immigration lawyer to assist candidates receiving an offer, though successful sponsorship cannot be guaranteed for every role and candidate.

What are the core duties of the RL Velocity team?

The RL Velocity team owns the efficiency and reliability of the reinforcement learning science stack, building core platforms, tooling, and systems that remove research bottlenecks.

What educational background is required?

A minimum of a Bachelor’s degree or an equivalent combination of education, training, and/or experience in a relevant field is required.

Ready to apply?

The application is on the official Anthropic careers page.

Apply on company site