Hybrid Senior Engineering Manager, ML Platform

Posted 26 minutes ago

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About the role

  • Senior Engineering Manager leading the ML Platform team at Zoox. Overseeing ML infrastructure for autonomous robotaxis.

Responsibilities

  • Develop and execute a strategic vision for our ML training platform, ensuring scalability, reliability, and performance to support large-scale Foundation and RL models.
  • Lead the design, implementation, and operation of a robust and efficient ML training platform to enable the training, experimentation, validation, and monitoring of ML models.
  • Attract, hire, and inspire a diverse world-class engineering team, fostering a culture of innovation, collaboration, and excellence.
  • Collaborate closely with cross-functional teams, including ML researchers, software engineers, data engineers, and hardware engineers to define requirements and align on architectural decisions.
  • Enable the engineers in the team to grow their careers by providing the right opportunities along with clear and timely feedback.

Requirements

  • 10+ years of relevant experience, including 4+ years of management experience managing other managers and engineers.
  • Experience building user-friendly ML Infrastructure that enabled large-scale model training and high-throughput, low-latency serving use cases.
  • Experience with training frameworks like PyTorch, JAX, etc., leveraging GPUs for distributed model training.
  • Experience with GPU-accelerated inference using TensorRT, Ray Serve, or similar frameworks.

Benefits

  • paid time off (e.g. sick leave, vacation, bereavement)
  • unpaid time off
  • Zoox Stock Appreciation Rights
  • Amazon RSUs
  • health insurance
  • long-term care insurance
  • long-term and short-term disability insurance
  • life insurance

Job title

Senior Engineering Manager, ML Platform

Job type

Experience level

Senior

Salary

$317,000 - $370,000 per year

Degree requirement

No Education Requirement

Tech skills

Location requirements

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