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Research Engineer, Production Model Post-Training

AnthropicSan Francisco, CA | New York City, NY | Seattle, WAAI Research & Engineering
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Salary
Not listed
Job type
Full-time
Posted
1 Apr 2025
Status
Open · checked 7d ago

About this role

Anthropic is currently seeking a Research Engineer for Production Model Post-Training to join their teams in San Francisco, New York City, or Seattle. This position focuses on driving the development of production Claude models through advanced post-training techniques and is well-suited for professionals experienced in machine learning systems and AI alignment.

Role Overview

In this capacity, individuals work at the intersection of production engineering and advanced research. The selected candidate trains base models through a comprehensive post-training framework to enhance capabilities, alignment, and safety. Responsibilities may require handling urgent incidents on short notice, including during weekends, and interviews are conducted exclusively in Python.

Key Responsibilities

Implement and optimize scalable post-training techniques on frontier models.
Conduct research to design and refine recipes that improve production model quality.
Build and execute efficient pipelines dedicated to model fine-tuning and evaluation.
Develop measurement tools to track model performance across multiple dimensions.
Collaborate alongside research staff to translate emerging methodologies into production-ready solutions.
Troubleshoot and debug complex training pipeline issues and model behaviors.
Establish robust best practices for reproducible and reliable model post-training.

Requirements

Strong background in software engineering with hands-on experience building complex machine learning systems.
Proficiency in working with large-scale distributed systems and high-performance computing.
Familiarity with training, fine-tuning, or evaluating large language models.
Ability to balance research exploration with operational reliability and engineering rigor.
Skill in analyzing and debugging intricate model training processes.
Capacity to navigate ambiguity and excel in fast-moving research environments.
Minimum of a Bachelor’s degree in a relevant field or an equivalent combination of education, training, and experience.
Location-based hybrid policy requiring staff to be in a designated office at least 25% of the time.

Nice to Have

Prior practical experience working directly with large language models.
A dedicated interest in artificial intelligence safety and responsible deployment practices.
Senior-level engineering experience involving frontier artificial intelligence systems.

Skills and Tools

Python
Deep learning frameworks
Distributed computing systems
Model fine-tuning and evaluation pipelines
Constitutional AI and RLHF methodologies

Salary and Benefits

The annual salary range for this position is $350,000 to $500,000 USD. Anthropic provides competitive compensation and benefits, optional equity donation matching, flexible working hours, generous vacation policies, parental leave, and collaborative office spaces. Visa sponsorship is available for qualifying candidates.

About the Company

Anthropic operates as a public benefit corporation dedicated to building reliable, interpretable, and steerable artificial intelligence systems that remain beneficial to society. The organization approaches AI research as an empirical science akin to physics and biology, bringing together a cohesive team of policy experts, researchers, and engineers focused on large-scale initiatives.

How to Apply

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

Skills and tech stack

Python

Questions candidates ask

What is the salary range for this role?

The annual salary range is between $350,000 and $500,000 USD.

Where is the job located?

The position is available in San Francisco, CA, New York City, NY, or Seattle, WA, operating under a hybrid model where staff work from an office at least 25% of the time.

Is visa sponsorship provided?

Yes, Anthropic sponsors visas for qualifying candidates and retains an immigration lawyer to assist with the process.

What programming language is used during interviews?

All interviews for this position are conducted in Python.

What education or experience is required?

Candidates must have a minimum of a Bachelor’s degree in a relevant field or an equivalent combination of education, training, and experience, along with proficiency in Python, deep learning frameworks, and distributed computing.

Ready to apply?

The application is on the official Anthropic careers page.

Apply on company site