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Research Engineer/Research Scientist, Pre-training

AnthropicRemote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NYAI Research & Engineering
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
18 Jul 2025
Status
Open · checked 7d ago

About this role

The Research Engineer or Research Scientist role for Pre-training at Anthropic involves building the next generation of large language models while focusing on reliable, interpretable, and steerable AI systems. This position is remote-friendly with required travel, and operates out of locations including San Francisco, Seattle, and New York City, making it ideal for skilled machine learning professionals who want to advance safe artificial intelligence.

Role Overview

Anthropic seeks a dedicated professional to join the Pre-training team to help develop advanced large language models. This role blends cutting-edge research with practical engineering to ensure that transformative artificial intelligence systems align with human interests. Team members work collaboratively as a single cohesive unit, treating AI research as an empirical science akin to physics or biology.

Key Responsibilities

Conduct research and implement solutions regarding model architecture, algorithms, data processing, and optimizer development.
Lead small research projects independently while collaborating on larger team initiatives.
Design, execute, and analyze scientific experiments to deepen the understanding of large language models.
Scale and optimize training infrastructure to enhance overall system efficiency and reliability.
Build and improve developer tooling to boost team productivity across the entire stack.

Requirements

Advanced degree, such as an MS or PhD, in Computer Science, Machine Learning, or a relevant field, or an equivalent combination of education, training, and experience.
Strong software engineering background with a proven track record of creating complex systems.
High-level expertise in Python and practical experience with deep learning frameworks, preferably PyTorch.
Familiarity with large-scale machine learning, specifically centered on language models.
Ability to balance research ambitions with practical engineering constraints alongside strong problem-solving skills.

Nice to Have

Experience building high-performance, large-scale machine learning systems.
Familiarity with GPUs, Kubernetes, and operating system internals.
Background using transformer architectures for language modeling and applying reinforcement learning techniques.
Experience managing large-scale ETL processes.

Skills and Tools

Python
PyTorch
Kubernetes
GPUs and large-scale training infrastructure

Salary and Benefits

Annual salary range of $350,000 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.

About the Company

Anthropic is an AI safety and research company working to create reliable, interpretable, and steerable artificial intelligence systems. Operating as a public benefit corporation, the organization focuses on large-scale research efforts that prioritize societal impact and ethical AI development. Anthropic fosters an inclusive workplace and encourages applications from individuals of all backgrounds.

How to Apply

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

Skills and tech stack

Questions candidates ask

What locations are available for this role?

This role is remote-friendly with required travel, with office presence expected in San Francisco, CA, Seattle, WA, or New York City, NY.

What is the salary range for the Research Engineer position?

The annual compensation range is between $350,000 and $850,000 USD.

What technical skills are required?

Candidates must have strong software engineering skills, expertise in Python, and experience with deep learning frameworks like PyTorch.

Does Anthropic offer visa sponsorship?

Yes, Anthropic sponsors visas for eligible roles and candidates, making reasonable efforts to secure visas with the help of an immigration lawyer.

What education is required for the job?

An advanced degree such as an MS or PhD in Computer Science, Machine Learning, or a related field is expected, though an equivalent combination of education, training, and experience is also considered.

Ready to apply?

The application is on the official Anthropic careers page.

Apply on company site