Engineering Manager, ML Acceleration
Engineering Manager, ML Acceleration
Engineering Manager, ML Acceleration
Anthropic
Anthropic is seeking an Engineering Manager for their ML Acceleration team, focusing on optimizing compute resources for AI systems. The role involves leadership in improving model performance, managing team dynamics, and ensuring AI safety. Candidates should have management experience in technical environments, particularly in performance or distributed systems, and a strong background in machine learning or AI.
Qualification
- 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 their safe development
- Ability to build strong relationships with stakeholders at all levels
- Experience managing teams through periods of rapid growth and change
- Quick learner capable of understanding and contributing to discussions on complex technical topics
Responsibility
- 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
