Machine Learning Engineer • Staff

Who you are

You are an experienced Machine Learning Engineer with a strong background in Python programming — you have designed and implemented complex machine learning models and understand the intricacies of reinforcement learning. Your expertise allows you to create authentic training environments that enhance AI capabilities, particularly in virtual collaboration. You thrive in collaborative settings, working closely with product teams to ensure alignment between AI training and product features.

You have a deep understanding of data generation platforms and can build scalable systems for creating high-quality tasks — your experience includes integrating real organizational data to develop robust training environments. You are adept at developing evaluation systems that maintain quality and prevent reward hacking, ensuring the AI's performance is reliable and effective.

What you'll do

In this role, you will design and implement reinforcement learning pipelines specifically targeted at virtual collaborator use cases, such as productivity and organizational navigation. You will build and scale a data creation platform that generates high-quality, open-ended tasks in collaboration with domain experts and crowdworkers. Your responsibilities will also include integrating real organizational data to create authentic training environments for Claude, enhancing its capabilities in document manipulation and co-creation.

You will partner directly with product teams to ensure that the training aligns with shipped features, providing insights and feedback to refine the AI's performance. Your work will be pivotal in transforming Claude into the best virtual collaborator, making a significant impact on how knowledge work is conducted within organizations.

What we offer

At Anthropic, we provide competitive compensation and benefits, including optional equity donation matching, generous vacation and parental leave, and flexible working hours. You will have the opportunity to work in a lovely office space in San Francisco, collaborating with a diverse team of researchers, engineers, and policy experts dedicated to building beneficial AI systems. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.