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Staff Machine Learning Engineer, Runtime

1 month ago


Mountain View, Arkansas, United States Waymo Full time
Job Title: Staff Machine Learning Engineer, Runtime

Waymo is a leading autonomous driving technology company with a mission to be the most trusted driver. Our team is responsible for building the Waymo Driver, a cutting-edge technology that powers our fully autonomous ride-hailing service and can be applied to various vehicle platforms and product use cases.

About the Role

We are seeking a highly skilled Staff Machine Learning Engineer, Runtime to join our team. As a key member of our ML Platform team, you will be responsible for improving compute performance on both cloud and car. You will work across the entire ML stack from the system perspective, from efficient deep learning models, model compression, ML software, to deployment and monitoring.

Key Responsibilities
  • Collaborate with world-class Waymo ML scientists in perception, planner, research, and simulation to identify opportunities in both systems and models to make ML workloads faster.
  • Lead projects from proposals through execution by leading and mentoring junior engineers.
  • Stay up-to-date with the latest ML system optimization techniques and tools, analyze, and improve ML system workloads on both cloud and self-driving cars.
  • Apply model optimization, efficient deep learning techniques, and ML software improvements to Waymo's ML systems.
  • Collaborate on foundation models and ML Systems with external partners such as CoreML, Google Brain, and DeepMind.
Requirements
  • M.S. in CS, EE, Deep Learning, or a related field.
  • 2+ years of experience as a technical lead, including writing project plans, engaging with customer teams, mentoring, responsible for goals & execution, reporting status.
  • 5+ years of experience on developing solutions in ML systems or ML software stack (Pytorch/JAX/TF, runtime libraries, ML compiler).
  • Deep understanding of ML system architecture, performance analysis, and tools.
  • Strong Python or C++ programming skills.
Preferred Qualifications
  • PhD in CS, EE, Deep Learning, or a related field.
  • Familiarity with the HW architecture of ML hardware accelerators (e.g., GPU/TPU).
  • Deep knowledge of model optimization or efficient deep learning techniques for foundation models or LLM.
  • Deep understanding of GPU HW or TPU HW and related system software.
What We Offer

Waymo employees are eligible to participate in our discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. The expected base salary range for this full-time position across US locations is $226,000 - $286,000 USD.