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Research Engineer, Life Sciences

AnthropicSan Francisco, CAAI Research & Engineering
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Salary
Not listed
Job type
Full-time
Posted
3 Jul 2026
Status
Open · checked 7d ago

About this role

Anthropic is seeking a Research Engineer for its Life Sciences team in San Francisco, California, to build advanced AI systems that accelerate discovery across biological sciences. This on-site role suits machine learning professionals eager to tackle complex scientific challenges and shape the frontier of safe, beneficial artificial intelligence.

Role Overview

The Life Sciences team focuses on speeding up progress in biology, ranging from initial discovery all the way through translation. As a Research Engineer, the chosen candidate will blend machine learning engineering expertise with biological sciences to formulate novel evaluation frameworks and training strategies. Working alongside world-class researchers, the individual in this position will create rigorous methods to measure model performance on intricate scientific assignments while upholding safety standards.

Key Responsibilities

Design and execute novel evaluation frameworks and training approaches for biological AI applications.
Build and maintain data pipelines capable of handling large-scale datasets.
Collaborate across cross-functional teams to engineer AI systems capable of operating across all phases of research and development.
Navigate ambiguous situations to formulate effective solutions in rapidly changing research environments.

Requirements

Demonstrated background in training and evaluating large language models.
Proficiency in Python alongside familiarity with modern machine learning development workflows.
Hands-on experience constructing and managing data pipelines for massive datasets.
Comfort with ambiguity and independent problem-solving in fast-paced settings.
Clear written and verbal communication skills to support cross-functional collaboration.
Minimum of a Bachelor’s degree in a relevant field or an equivalent combination of education, training, and experience.

Nice to Have

Eight or more years of professional machine learning experience.
Graduate studies or prior work experience bridging AI and biology, such as molecular biology, biochemistry, or computational biology.
Experience processing large-scale biological datasets.
Published research or practical application history in scientific AI or long-horizon reasoning.
Background in reinforcement learning or pretraining methodologies.
Familiarity with containerization tools like Docker and Kubernetes, alongside cloud deployment at scale.
Experience spanning multiple domains including language modeling, systems engineering, and scientific computing.
Past contributions to open-source scientific software or databases.

Skills and Tools

Python
Kubernetes
Docker
Large-scale data pipelines
Large language model training and evaluation
Cloud deployment environments

Salary and Benefits

Annual base salary ranging from $350,000 to $500,000 USD.
Competitive compensation package alongside optional equity donation matching.
Generous vacation policies and parental leave options.
Flexible working hours and access to a collaborative office space.
Visa sponsorship availability with dedicated immigration legal support.

About the Company

Anthropic operates as a public benefit corporation headquartered in San Francisco with a mission to develop reliable, interpretable, and steerable AI systems that benefit society. The organization approaches AI research as an empirical science, functioning as a single cohesive team focused on large-scale investigations rather than isolated puzzles. Staff members follow a location-based hybrid policy requiring presence in the office at least 25 percent of the time.

How to Apply

Interested candidates should visit the official Anthropic careers page to submit an application for this position.

Skills and tech stack

PythonKubernetesDocker

Questions candidates ask

What is the salary range for the Research Engineer, Life Sciences role?

The annual salary for this position ranges from $350,000 to $500,000 USD.

Where is the position located?

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

Is prior experience in the life sciences mandatory?

No, previous experience in the life sciences is welcome but not required for this position.

Does Anthropic offer visa sponsorship for this role?

Yes, Anthropic sponsors visas and retains an immigration lawyer to assist candidates who receive an offer, though successful sponsorship cannot be guaranteed for every single applicant.

What technical skills are required?

Candidates must be proficient in Python, experienced in training and evaluating large language models, and skilled at building and managing data pipelines for large-scale datasets.

Ready to apply?

The application is on the official Anthropic careers page.

Apply on company site