Ai Research Engineer • Mid-Level

Who you are

You have a strong background in machine learning and AI, with experience in implementing and optimizing post-training techniques. Your expertise in Python allows you to develop robust pipelines for model fine-tuning and evaluation, ensuring high-quality production models. You are familiar with advanced methodologies such as Reinforcement Learning from Human Feedback (RLHF) and Constitutional AI, and you understand their implications for AI alignment and safety.

You thrive in collaborative environments, working closely with research teams to translate cutting-edge techniques into production-ready implementations. Your problem-solving skills enable you to tackle complex challenges in AI systems, and you are committed to building reliable and interpretable AI technologies that benefit society.

What you'll do

As a Research Engineer on the Post-Training team, you will implement and optimize post-training techniques at scale on frontier models. Your role involves conducting research to develop and refine post-training recipes that directly improve the quality of production models. You will design, build, and run efficient pipelines for model fine-tuning and evaluation, ensuring that the models meet high standards of performance and safety.

You will collaborate with other researchers to translate emerging techniques into practical applications, contributing to the overall mission of creating beneficial AI systems. Your work will have a direct impact on the capabilities and safety of the production Claude models that users interact with, making your contributions vital to the success of the team.

What we offer

At Anthropic, we provide a supportive and innovative work environment where you can grow your skills and make a meaningful impact. We offer competitive compensation and benefits, including flexible working hours and a collaborative office space in Zürich. Join us in our mission to create safe and beneficial AI systems that positively influence society.