Engineering Manager, GPU (ML Accelerator)
San Francisco, CA | New York City, NY | Seattle, WA
Posted 16d ago
Remote Work Policy
On-site
Categories
Machine Learning Engineer
About the job
Anthropic's performance and scaling teams focus on making the most efficient and impactful use of our compute resources for inference and training. As an Engineering Manager on these teams, you will be responsible for identifying and removing bottlenecks, building robust and durable solutions, and maximizing the efficiency of our systems. You will also help bring clarity, focus, and context to your teams in a fast-paced, dynamic environment.
Responsibilities
- 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 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 reports in understanding and pursuing 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, 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 ensuring their safe development.
- Excel at building strong relationships with stakeholders at all levels.
- Quick learner, capable of understanding and contributing to discussions on complex technical topics.
- Experience managing teams through periods of rapid growth and change.
- Ability to understand complex technical systems at a high level of abstraction.
Benefits
- Annual compensation range: $500,000 - $850,000 USD
- Hybrid work policy (at least 25% in office)
- Visa sponsorship available