About the Job
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI syst...
Note: we don't have open Research Manager positions on the Interpretability team at this time. However, we're actively growing our team of Research Engineers and Research Scientists. If you're excited about interpretability research and open to an individual contributor role, we encourage you to apply.
When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?"
Key Responsibilities
As a manager on the Interpretability team, you'll support a team of expert researchers and engineers who are trying to understand at a deep, mechanistic level, how modern large language models work internally.
Few things can accelerate this work more than great managers. Your work as manager will be critical in making sure that our fast-growing team is able to meet its ambitious safety research goals over the coming years. In this role, you will partner closely with an individual contributor research lead to drive the team's success, translating cutting-edge research ideas into tangible goals and overseeing their execution. You will manage team execution, careers and performance, facilitate relationships within and across teams, and drive the hiring pipeline.
If you're more interested in making individual direct technical contributions to our research as the primary focus of your role, feel free to apply to our Research Scientist or Research Engineer roles instead.
Partner with a research lead on direction, project planning and execution, hiring, and people development
Set and maintain a high bar for execution speed and quality, including identifying improvements to processes that help the team operate effectively
Coach and support team members to have more impact and develop in their careers
Drive the team's recruiting efforts, including hiring planning, process improvements, and sourcing and closing
Help identify and support opportunities for collaboration with other teams across Anthropic
Communicate team updates and results to other teams and leadership
Maintain a deep understanding of the team's technical work and its implications for AI safety
Are an experienced manager (minimum 2-5 years) with a track record of effectively leading highly technical research and/or engineering teams
Have a background in machine learning, AI, or a related technical field
Actively enjoy people management and are experienced with coaching and mentorship, performance evaluation, career development, and hiring for technical roles
Have strong project management skills, including prioritization and cross-functional coordination and collaboration
Have managed technical teams through periods of ambiguity and change
Are a quick learner, capable of understanding and contributing to discussions on complex technical topics and are motivated to learn about our research
Are a strong communicator both in speaking and in writing
Believe that advanced AI systems could have a transformative effect on the world, and are passionate about helping make sure that transformation goes well
Experience scaling engineering infrastructure
Experience working on open-ended, exploratory research agendas aimed at foundational insights
Some familiarity with our work and mechanistic interpretability
