[Remote] Engineering Manager, GPU (ML Accelerator)

Note: The job is a remote job and is open to candidates in USA. Anthropic is a public benefit corporation headquartered in San Francisco, focused on creating reliable and beneficial AI systems. As an Engineering Manager, you will lead efforts to optimize model performance and manage a team in a fast-paced environment.

Responsibilities

• 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

Skills

• 1+ years of management experience in a technical environment, particularly performance or distributed systems
• A background in machine learning, AI, or a similar related technical field
• Deeply interested in the potential transformative effects of advanced AI systems and committed to ensuring their safe development
• Excel at building strong relationships with stakeholders at all levels
• A quick learner, capable of understanding and contributing to discussions on complex technical topics
• Experience managing teams through periods of rapid growth and change
• A quick study: this team sits at the intersection of a large number of different complex technical systems that you'll need to understand (at a high level of abstraction) to be effective
• Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• High performance, large-scale ML systems
• GPU/Accelerator programming
• ML framework internals
• OS internals
• Language modeling with transformers

Benefits

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• A lovely office space in which to collaborate with colleagues
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

Company Overview

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