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# Research Engineer, Production Model Post-Training

- **Company:** Anthropic Limited
- **Location:** Seattle, WA, United States
- **Salary:** $350,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Debugging, Distributed Systems, Python (Programming Language), Software Safety, Software Engineering, Scripting, High Performance Computing, Large Language Models, Deep Learning, Machine Learning Operations, Claude
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/research-engineer-production-model-post-training-seattle-wa--8f0e4a2c-32ed-4318-bb11-8ef22da17241

## About the Role

Artificial Intelligence (AI), Safety/Work Safety, Python Programming/Scripting Language, Interviewing Skills, Research Skills, Quality Management, Performance Modeling, Performance Management, Debugging Skills, Best Practices, * Thrive in controlled chaos and are energised, rather than overwhelmed, when juggling multiple urgent priorities

 * Adapt quickly to changing priorities
 * Maintain clarity when debugging complex, time-sensitive issues
 * Have strong software engineering skills with experience building complex ML systems
 * Are comfortable working with large-scale distributed systems and high-performance computing
 * Have experience with training, fine-tuning, or evaluating large language models
 * Can balance research exploration with engineering rigor and operational reliability
 * Are adept at analyzing and debugging model training processes
 * Enjoy collaborating across research and engineering disciplines
 * Can navigate ambiguity and make progress in fast-moving research environments

Strong candidates may also:

 * Have experience with LLMs
 * Have a keen interest in AI safety and responsible deployment

We welcome candidates at various experience levels, with a preference for senior engineers who have hands-on experience with frontier AI systems. However, proficiency in Python, deep learning frameworks, and distributed computing is required for this role., Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

## Description

Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with.

You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models.

Note: For this role, we conduct all interviews in Python. This role may require responding to incidents on short-notice, including on weekends.

Responsibilities:

 * Implement and optimize post-training techniques at scale on frontier models
 * Conduct research to develop and optimize post-training recipes that directly improve production model quality
 * Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation
 * Develop tools to measure and improve model performance across various dimensions
 * Collaborate with research teams to translate emerging techniques into production-ready implementations
 * Debug complex issues in training pipelines and model behavior
 * Help establish best practices for reliable, reproducible model post-training