Engineering Manager, GPU Performance & Scale

Anthropic Limited; Seattle (WA); On-site; USD 500,000 - 850,000; Full time

Benefits offered by this job

Optional equity donation matching

Generous vacation and parental leave

Flexible working hours

A lovely office space

Job summary

Anthropic, a San Francisco-based AI safety company, is hiring an Engineering Manager for performance and scaling teams in Seattle. You will lead front-line engineering efforts to improve model performance, scale inference/training systems, and deliver durable solutions while guiding your team through a fast-paced environment.

You will also contribute as an IC when needed, manage day-to-day work, prioritize projects, coach reports, and maintain a deep understanding of AI safety implications as

Qualifications

• 1+ years of management experience in a technical environment.
• Background in machine learning, AI, or related technical field.
• Interest in transformative AI and safe development.
• Ability to build relationships with stakeholders at all levels.
• Quick learner capable of complex discussions.
• Experience leading teams through rapid growth and change.

Responsibilities

• Provide front-line leadership of engineering efforts to improve model performance and scale inference and training systems.
• Contribute as an individual contributor after becoming familiar with the stack.
• Manage day-to-day execution of the team's work.
• Prioritize the team’s work and manage projects in a dynamic environment.
• Coach and support reports in professional growth.
• Maintain understanding of the team's work and AI safety implications.

Skills

Management experience

ML background

AI safety understanding

Stakeholder management

Fast learner

Team growth management

Education

Bachelor's degree

Job description

Anthropic, a San Francisco-based AI safety company, is hiring an Engineering Manager for performance and scaling teams in Seattle. You will lead front-line engineering efforts to improve model performance, scale inference/training systems, and deliver durable solutions while guiding your team through a fast-paced environment.

You will also contribute as an IC when needed, manage day-to-day work, prioritize projects, coach reports, and maintain a deep understanding of AI safety implications as