Engineering Manager, Inference

USD 425,000-560,000 per year
SENIOR
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Distributed Systems @ 4 Machine Learning @ 4 Communication @ 4 GPU @ 4

Details

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We focus on building beneficial AI systems that are safe and useful for society. The performance and scaling teams optimize compute resources for inference and training models.

Responsibilities

  • Lead engineering efforts to improve model performance and scale inference and training systems
  • Contribute technically to the team's work
  • Manage daily execution of team tasks
  • Prioritize tasks and projects in a dynamic environment
  • Coach and support team members in their professional growth
  • Maintain a deep understanding of technical work and implications for AI safety

Requirements

  • 1+ years of management experience in technical environments, preferably in performance or distributed systems
  • Background in machine learning, AI, or related technical fields
  • Strong interest in advanced AI's transformative effects and commitment to safe development
  • Excellent stakeholder relationship skills
  • Quick learner with ability to understand complex technical topics
  • Experience managing teams during rapid growth and change
  • Ability to understand complex technical systems at a high level

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 and Culture

Anthropic offers competitive compensation including salary range from $425,000 to $560,000 USD, equity donation matching, generous vacation and parental leave, flexible working hours, and a collaborative office environment. The company values diversity, communication skills, and impactful AI research centered on safety and steerability.

Logistics

  • Education: Bachelor’s degree in a related field or equivalent experience required
  • Location policy: Hybrid with at least 25% in office presence
  • Visa sponsorship available for eligible candidates
  • Encouraged application from diverse and underrepresented groups