Ai Research Engineer • Mid-Level

Who you are

You have a strong background in machine learning and experience with large-scale ML systems — you've worked on optimizing performance and ensuring reliability in production environments. Your technical expertise allows you to debug complex issues across the full stack, from hardware to training dynamics.

You are passionate about AI and its potential to benefit society — you understand the importance of creating interpretable and steerable AI systems. Your experience includes designing and running experiments to improve training efficiency and model performance.

What you'll do

As a Research Engineer at Anthropic, you will own critical aspects of the production pretraining pipeline, focusing on model operations and performance optimization. You will debug and resolve complex issues that arise during model training, ensuring that our frontier models train reliably and efficiently.

You will collaborate closely with other engineers and researchers, responding to on-call incidents during model launches and working in tight coordination with the team. Your role will involve designing experiments that enhance model performance and reduce training time, contributing directly to the company's mission of building safe and beneficial AI systems.

What we offer

Anthropic provides a supportive work environment with competitive compensation and benefits, including flexible working hours and generous vacation policies. You will have the opportunity to work with a talented team dedicated to advancing AI technology responsibly. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.