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Staff Research Engineer, Discovery Team

AnthropicSan Francisco, CAAI Research & Engineering
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Salary
Not listed
Job type
Full-time
Posted
23 Apr 2025
Status
Open · checked 8d ago

About this role

Role Overview

Anthropic is hiring a Staff Research Engineer for the Discovery Team in San Francisco, CA, to build advanced AI systems focused on solving long-horizon reasoning and scientific workflows. This role suits an experienced machine learning professional with a background in large-scale systems who wants to advance the frontier of scientific artificial intelligence in a collaborative setting.

Key Responsibilities

Work across the full technology stack to eliminate bottlenecks and advance toward scientific AGI.
Build approaches to handle complex reasoning tasks and long-horizon completion essential for scientific discovery.
Scale prototype research ideas directly into production-ready environments.
Design evaluation frameworks and benchmarks to gauge model capabilities in computer use and scientific workflows.
Implement distributed training systems alongside performance optimizations to facilitate large-scale model development.

Requirements

Bring eight or more years of machine learning research experience to the position.
Possess familiarity with large-scale language model inference, training, and evaluation pipelines.
Demonstrate expertise in distributed computing systems and performance optimization.
Hold a minimum of a Bachelor's degree in a relevant field of study, or display an equivalent combination of education, training, and experience.
Comply with the location-based hybrid policy by working from the San Francisco office at least 25 percent of the time.

Nice to Have

Expertise in performance optimization specifically geared toward language model training and inference.
Practical experience or published research in scientific artificial intelligence applications or long-horizon reasoning.
Familiarity with agentic AI systems and computer use automation.
Background in reinforcement learning methods designed for complex task completion.
Demonstrated ability to operate smoothly across multiple domains such as systems engineering, language modeling, and scientific computing.

Skills and Tools

Kubernetes
Docker
Distributed computing systems
Large-scale data pipelines and processing infrastructure
Virtual machine, sandboxing, and container deployment

Salary and Benefits

Annual base salary ranging from $350,000 to $850,000 USD.
Visa sponsorship availability with support from a retained immigration lawyer.
Generous parental leave and flexible vacation policies.
Optional equity donation matching programs.
Flexible working hours and access to a collaborative office space.

About the Company

Anthropic is a public benefit corporation headquartered in San Francisco dedicated to building reliable, interpretable, and steerable AI systems that benefit humanity. The organization approaches AI research as an empirical science, focusing on large-scale collaborative efforts rather than smaller fragmented puzzles. The diverse team brings together researchers, engineers, business leaders, and policy experts to create safe and beneficial artificial intelligence.

How to Apply

Visit the official Anthropic careers page to submit your application and view confirmed position openings.

Skills and tech stack

KubernetesDocker

Questions candidates ask

What is the salary range for the Staff Research Engineer role?

The annual base salary for this position ranges from $350,000 to $850,000 USD.

Where is the position located?

The role is located in San Francisco, CA, and follows a location-based hybrid policy requiring staff to be in the office at least 25% of the time.

How many years of experience are required?

Candidates must have 8 or more years of machine learning research experience.

Does Anthropic offer visa sponsorship for this position?

Yes, Anthropic sponsors visas and retains an immigration lawyer to assist candidates who receive an offer, though they cannot successfully sponsor every candidate.

What education level is required?

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

Ready to apply?

The application is on the official Anthropic careers page.

Apply on company site