Anthropic is looking to improve the performance and scalability of their AI systems, ensuring the efficient use of compute resources and maximizing system efficiency.
Requirements
- Background in machine learning, AI, or a similar related technical field
- Experience with high-performance, large-scale ML systems
- GPU/Accelerator programming
- ML framework internals
- OS internals
- Language modeling with transformers
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 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 reports in understanding, and pursuing, their professional growth
- Maintain a deep understanding of the team's technical work and its implications for AI safety
Other
- 1+ years of management experience in a technical environment, particularly performance or distributed systems
- At least a Bachelor's degree in a related field or equivalent experience
- Location-based hybrid policy: currently, we expect all staff to be in one of our offices at least 25% of the time
- Visa sponsorship: we do sponsor visas, but we aren't able to successfully sponsor visas for every role and every candidate
- 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
