Engineering Manager, GPU & ML Systems Scaling

Anthropic; York and North Yorkshire; On-site; GBP 110,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Fertility benefits

Parental leave

Flexible time off

Mental health support

Equity packages

Equity donation matching

Retirement plan

Life insurance

Income protection

Wellness stipend

Commuter benefits

Education stipend

Home office stipend

Relocation support

Office meals

Job summary

Anthropic in York, UK is seeking an Engineering Manager for our performance and scaling teams. You will identify bottlenecks, remove obstacles, build robust solutions, and maximize system efficiency for inference and training workloads.

You will provide front-line leadership, guide the team through fast-paced projects, mentor reports, and maintain awareness of AI safety implications while contributing as an IC when needed.

Qualifications

• 1+ years of management experience in a technical environment, especially performance or distributed systems
• Ability to build strong relationships with stakeholders at all levels
• Deep interest in the potential transformative effects of advanced AI systems and safe development
• Background in machine learning, AI, or a related technical field
• Experience with language modeling, ML framework internals, OS internals, and GPU/accelerator programming

Responsibilities

• Identify and remove bottlenecks in compute pipelines and improve end-to-end performance
• Lead day-to-day execution of the team's work and prioritize projects in a fast-paced environment
• Coach and support reports in their growth and development
• Maintain deep understanding of the team's technical work and its implications for AI safety
• Contribute as an individual contributor when needed and collaborate across teams

Job description

Anthropic in York, UK is seeking an Engineering Manager for our performance and scaling teams. You will identify bottlenecks, remove obstacles, build robust solutions, and maximize system efficiency for inference and training workloads.

You will provide front-line leadership, guide the team through fast-paced projects, mentor reports, and maintain awareness of AI safety implications while contributing as an IC when needed.