Engineering Manager, Inference
San Francisco, CA | New York City, NY | Seattle, WA
Posted 16d ago
Remote Work Policy
On-site
Categories
Applied AI Engineer
About the job
Anthropic's performance and scaling teams are dedicated to optimizing compute resources for both inference and training. As an Engineering Manager on these teams, you will lead efforts to identify and eliminate bottlenecks, develop resilient and scalable solutions, and enhance system efficiency. You will also provide clear direction, focus, and context to your team within a fast-paced, evolving environment. This role requires a leader who can guide engineering initiatives to improve model performance and scale inference and training systems, while also contributing technically to the team's stack.
Responsibilities
- Lead engineering efforts to improve model performance and scale inference and training systems.
- Contribute technically to the team's stack.
- Manage the team's day-to-day execution and project prioritization.
- Coach and support direct reports in their professional development.
- Maintain a deep understanding of the team's technical work and its implications for AI safety.
Requirements
- 1+ years of management experience in a technical environment, particularly in performance or distributed systems.
- Background in machine learning, AI, or a similar technical field.
- Deep interest in the potential of advanced AI systems and commitment to their safe development.
- Ability to build strong relationships with stakeholders at all levels.
- Quick learner capable of understanding and contributing to complex technical discussions.
- Experience managing teams through periods of rapid growth and change.
- Ability to quickly understand and abstract complex technical systems.