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Anthropic

Engineering Manager, GPU (ML Accelerator)

San Francisco, CA | New York City, NY | Seattle, WAHybridPart Time
EngineeringAI & DataSalesMarketingLegal
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At a glance
LocationSan Francisco, CA | New York City, NY | Seattle, WA
Work styleHybrid
ContractPart Time
CompensationNot disclosed
SeniorityManager
DeadlineNot stated
The opportunity

About the role

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Anthropic’s performance and scaling teams focus on making the most efficient and impactful use of our compute resources, be it inference or training.

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Responsibilities, requirements, fit, evidence and preparation are organized here. The original posting remains available in Source & verification at the end.

Your work

What you'll do

  • Provide front-line leadership of engineering efforts to improve model performance and scale our 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
What matters

What they're looking for

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  • A field relevant to the role as demonstrated through coursework, training, or professional experience
The organization

About Anthropic

Verified company intelligence · refreshed 1 hour ago

Aptiora has not added a narrative company profile without evidence. What follows is derived from the live opportunities currently observed for this organization.

200live roles currently tracked
15observed locations
2work modes observed
AITechnologyFinanceEducationPublic ImpactCybersecurityHealthAgrifood
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