Engineering Manager, ML Acceleration

Details

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.

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

Requirements

• 1+ years of management experience in a technical environment, particularly performance or distributed systems
• Background in machine learning, AI, or similar related technical field
• Deep interest in the potential transformative effects of advanced AI systems and commitment to ensuring their safe development
• Ability to build 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
• Aptitude for understanding a variety of complex technical systems at a high level of abstraction

Strong candidates may also have experience with:

• High performance, large-scale ML systems
• GPU/Accelerator programming
• ML framework internals
• OS internals
• Language modeling with transformers

Benefits

Anthropic is a public benefit corporation headquartered in San Francisco. They offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a collaborative office space. Visa sponsorship is available with support from an immigration lawyer. The company emphasizes diversity and encourages applicants from underrepresented groups.

Logistics

• Education: At least a Bachelor’s degree in a related field or equivalent experience
• Location-based hybrid policy: Staff expected at offices at least 25% of the time (San Francisco, CA; New York City, NY; Seattle, WA)
• Work environment: Highly collaborative with frequent research discussions
• Competitive salary and flexible working conditions