Engineering Manager, ML Acceleration

Details

Anthropic’s performance and scaling teams focus on making the most efficient and impactful use of compute resources for both inference and training. As an Engineering Manager on these teams you will ensure your team identifies and removes bottlenecks, builds robust and durable solutions, and maximizes system efficiency while providing clarity, focus, and context in a fast-paced environment.

Responsibilities

• 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 and prioritize projects in a highly dynamic environment
• Coach and support direct reports in understanding and pursuing professional growth
• Maintain a deep understanding of the team's technical work and its implications for AI safety
• Build strong relationships with stakeholders at all levels

Requirements

• At least 1+ years of management experience in a technical environment (particularly performance or distributed systems)
• Background in machine learning, AI, or a related technical field
• Comfortable learning and contributing to discussions on complex technical topics across many systems
• Experience managing teams through periods of rapid growth and change
• Education: at least a Bachelor's degree in a related field or equivalent experience

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

Logistics

• Locations: San Francisco, CA; New York City, NY; Seattle, WA
• Location-based hybrid policy: staff are expected to be in an office at least 25% of the time (some roles may require more)
• Visa sponsorship: Anthropic does sponsor visas and retains an immigration lawyer, though sponsorship is not guaranteed for every role

Benefits

• Competitive compensation
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Office workspace for collaboration

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial. The company emphasizes collaborative, high-impact research and values strong communication across teams. Guidance on candidate AI usage during the application process is provided by Anthropic.