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NEXTMOVEFDE careers · United States

Machine Learning Engineer, Runtime & Optimization

AI summary of the role

This role focuses on improving compute performance for ML workloads on both cloud and car within Waymo's ML Platform team.

What you’ll do

  • Lead collaboration with ML scientists in perception, planner, research, and simulation to identify opportunities for faster ML workloads.
  • Lead projects from proposals through execution, developing junior engineers.
  • 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.

What you’ll bring

  • 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, and responsible for goals & execution.
  • 5+ years of experience 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.

Technologies

JAX · XLA · Triton · CUDA · PyTorch · TensorFlow · ML compiler · GPU · TPU

About Waymo

Builds the Waymo Driver autonomous driving stack and operates Waymo One robotaxi services, using large-scale real-world and simulated driving data to expand safely across cities.

Growth

Source and classification

Internal deployment & tooling · Evidence for this classification:

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The ML Platform team at Waymo provides a set of tools to support and automate the lifecycle of the machine learning workflow, including feature and experiment management, model development,
More from the job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The ML Platform team at Waymo provides a set of tools to support and automate the lifecycle of the machine learning workflow, including feature and experiment management, model development, optimization and monitoring. These efforts have resulted in making machine learning more accessible to teams at Waymo, including Perception, Planner, Research and Simulation. We are looking for engineers with ML software or ML systems expertise to help us improve compute performance on both cloud and car. You'll work across the entire ML stack from the system perspective, from efficient deep learning models, model compression, ML software (e.g. JAX, XLA, Triton, and CUDA), to . You will be pleasantly c [... source excerpt omitted ...] nts to Waymo's ML systems. You have: 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 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 We prefer you have one or more of the following: PhD in CS, EE, Deep Learning or a related field. Familiarity with the HW architecture of ML hardware accelerators (e.g., GPU/T [... source excerpt omitted ...] aymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000—$263,000 USD

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