Engineering Manager, Inference

Anthropic is a public benefit corporation headquartered in San Francisco, focused on creating reliable, interpretable, and steerable AI systems. Our team of researchers, engineers, policy experts, and business leaders work together to build beneficial AI systems.

As an Engineering Manager on our performance and scaling teams, you will lead engineering efforts to improve model performance and scale our inference and training systems. You will manage day-to-day execution, prioritize work, coach reports, and maintain a deep understanding of the team's technical work and its implications for AI safety.

• Provide front-line leadership of engineering efforts to improve model performance and scale inference and training systems
• Become familiar with the team’s technical stack enough to make targeted contributions as an individual contributor
• Manage day-to-day execution of the team's work
• Prioritize the team’s work and manage projects in a highly dynamic, fast paced environment
• Coach and support your reports in understanding and pursuing their professional growth
• Maintain a deep understanding of the team's technical work and its implications for AI safety

• 1+ years of management experience in a technical environment, particularly performance or distributed systems
• Background in machine learning, AI, or a similar related technical field
• Deep interest in the potential transformative effects of advanced AI systems and commitment to ensuring their safe development
• Excel at building strong relationships with stakeholders at all levels
• Quick learner, capable of understanding and contributing to discussions on complex technical topics
• Experience managing teams through periods of rapid growth and change
• Quick study: this team sits at the intersection of a large number of different complex technical systems

Strong candidates may also have experience with: high performance, large-scale ML systems; GPU/Accelerator programming; ML framework internals; OS internals; language modeling with transformers.

Annual Salary: $425,000—$560,000 USD

• Minimum education: Bachelor’s degree or 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
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. Some roles may require more time.
• Visa sponsorship: We do sponsor visas! We will make every reasonable effort to get you a visa if we make an offer.

We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space.

Apply via the Greenhouse link.