Mid-Senior Research Engineer - Post-Training Team

About the Role

We are seeking a talented Research Engineer - Post-Training Team to join our innovative team at Anthropic. This Research Engineer remote position will allow you to work on cutting-edge AI systems that are reliable, interpretable, and steerable. You will play a crucial role in enhancing the capabilities and safety of our production models through sophisticated post-training processes.

What You'll Do

• 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.

Requirements

• Bachelor's degree in a related field or equivalent experience.
• Strong software engineering skills with experience building complex ML systems.
• Proficiency in Python and deep learning frameworks.
• Experience with training, fine-tuning, or evaluating large language models.
• Ability to balance research exploration with engineering rigor and operational reliability.
• Comfortable working with large-scale distributed systems and high-performance computing.
• Ability to navigate ambiguity and make progress in fast-moving research environments.

Nice to Have

• Experience with LLMs.
• A keen interest in AI safety and responsible deployment.

What We Offer

• Annual salary range of $350,000—$500,000 USD.
• Equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours.
• A lovely office space to collaborate with colleagues.
• Visa sponsorship available.

At Anthropic, we believe that the highest-impact AI research will be big science, and we value collaboration and communication skills. Join us in building beneficial AI systems that have enormous social and ethical implications.