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# Research Engineer (Production Model Post Training)

- **Company:** Anthropic Limited
- **Location:** San Francisco, CA, United States
- **Salary:** $315,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Debugging, Distributed Systems, Python (Programming Language), Software Safety, Software Engineering, High Performance Computing, Large Language Models, Deep Learning, Machine Learning Operations, Claude
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25304_062a82ef8000054131ad6ddfde18021a

## About the Role

* 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
 * Have a keen interest in AI safety and responsible deployment
 * Experience with LLMs is a significant plus
 * Proficiency in Python, deep learning frameworks, and distributed computing is required for this role

We welcome candidates at various experience levels, with a preference for senior engineers who have hands-on experience with frontier AI systems., Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

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 develop and optimize the systems that transform our base models into the refined 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., * Implement and optimize post-training techniques at scale on frontier models

 * 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