Anthropic’s performance and scaling teams focus on making the most efficient and impactful use of our compute resources, be it inference or training. As an Engineering Manager on these teams you will be responsible for ensuring you and your team are identifying and removing bottlenecks, building robust and durable solutions, and maximizing the efficiency of our systems. You also will help bring clarity, focus, and context to your teams in a fast paced, dynamic environment.
Engineering Manager, Inference at Anthropic
Hybrid - San Francisco, CA; New York City, NY; Seattle, WA
More jobs at AnthropicSalary
USD 425,000 - 560,000
Requirements
Skills
- 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 safe AI development
- Strong stakeholder relationship skills
- Quick learner capable of understanding complex technical topics
- Experience managing teams through rapid growth and change
- Ability to grasp high-level abstractions of complex systems
- Bachelor’s degree or equivalent
- Relevant field of study
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 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
Technologies
High‑performance large‑scale machine learning systemsGPU/Accelerator programmingML framework internalsOS internalsLanguage modeling with transformers
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