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Job Description
Anthropic is seeking an Engineering Manager to lead its ML Performance and Scaling teams. This role focuses on optimizing compute resources for both inference and training, ensuring efficiency and impact. The Engineering Manager will be responsible for identifying and removing bottlenecks, building robust solutions, and maximizing system efficiency. They will also provide clarity and focus to their teams in a dynamic environment.
Responsibilities:
- Provide front-line leadership for engineering efforts.
- Improve model performance and scale inference and training systems.
- Manage day-to-day execution of the team's work.
- Prioritize work and manage projects in a fast-paced environment.
- Coach and support team members in their professional growth.
- 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.
- Background in machine learning, AI, or a related field.
- Deep interest in the transformative effects of advanced AI systems.
- Ability to build strong relationships with stakeholders.
- Quick learner, capable of understanding complex technical topics.
- Experience managing teams through rapid growth and change.
Anthropic offers:
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours.
- A collaborative office space.
