About Anthropic:

• Mission: Create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society.
• Team: Researchers, engineers, policy experts, business leaders focused on beneficial AI systems.

About the Role:

• Focus: Performance and scaling teams optimizing compute resources for inference and training.
• Role: Engineering Manager responsible for removing bottlenecks, building robust solutions, maximizing system efficiency.
• Environment: Fast-paced, dynamic.

Responsibilities:

• Lead engineering efforts to improve model performance and scale inference/training systems.
• Understand technical stack to contribute as an individual contributor.
• Manage day-to-day team execution.
• Prioritize work and manage projects in dynamic environment.
• Coach and support professional growth of reports.
• Maintain deep understanding of technical work and AI safety implications.

Qualifications (You may be a good fit if you):

• 1+ years management experience in technical environment (performance or distributed systems preferred).
• Background in machine learning, AI, or related technical field.
• Interest in transformative effects of advanced AI and commitment to safe development.
• Strong relationship-building skills with stakeholders at all levels.
• Quick learner capable of understanding complex technical topics.
• Experience managing teams during rapid growth/change.
• Ability to understand complex technical systems at a high level.

Preferred Experience:

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

Compensation:

• Annual Salary Range: $500,000 - $850,000 USD.

Logistics:

• Education: Bachelor's degree or equivalent experience required.
• Location-based hybrid policy: At least 25% time in office expected; some roles may require more.
• Visa sponsorship available with reasonable effort.

Additional Notes:

• Encouragement to apply even if not meeting every qualification due to diversity and inclusion values.
• Safety notice about legitimate recruiter communications from @anthropic.com only.

How Anthropic is Different:

• Focus on big science with a few large-scale research efforts.
• Value impact over smaller puzzles; empirical science approach akin to physics/biology.
• Highly collaborative with frequent research discussions.
• Emphasis on communication skills.

Benefits:

• Competitive compensation and benefits.
• Optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours.
• Collaborative office space in San Francisco headquarters.