Engineering Manager (Research Productivity)

Join Anthropic, an AI safety and research company, as an Engineering Manager for our Research Tools team. In this role, you will support a team of machine learning and distributed systems experts, design processes for effective team operation, and coach your reports for professional growth. You will also run the team's recruiting efforts and collaborate with various technical groups at Anthropic. Enjoy comprehensive benefits, a competitive salary, and the opportunity to make a positive impact on the world through AI.

• Support a team of machine learning and distributed systems experts to make systems and tools highly efficient, support fast iteration on model development and research.
• Work with research teams to incorporate their innovations into the production finetuning pipeline, product teams to help iterate quickly on customer-oriented model improvements.
• Prioritize the team’s work in collaboration with the technical lead, research teams, and product teams to support fast iteration on research projects and training runs.
• Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well
• Are an experienced manager (at least 2 years) and actively enjoy people management
• Are a quick study: this team sits at the intersection of a large number of different complex technical systems that you’ll need to understand (at a high level) to be effective
• Experience working with research teams, especially as part of a “research to production” pipeline
• Strong people management experience: Coaching, performance evaluation, mentorship, career development
• Strong project management skills: Prioritization, communicating across team/org boundaries
• Experience recruiting for your team: Predicting staffing needs, designing interview loops, evaluating candidates, and closing them
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed