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Staff Machine Learning Infrastructure Engineer, Simulation

WaymoAutonomous Vehicles company
London, United Kingdom£155,000 - £163,000 GBPLead
Data & AI

About the role

Lead ML infrastructure development for large foundation models in simulations.

  • Waymo is seeking an experienced Senior Machine Learning Infrastructure Engineer to lead the development of advanced AI/ML infrastructure for multi-billion parameter foundation models in ML accelerator-friendly simulations.
  • This role is crucial for accelerating the Simulator team in sustainably innovating and building state-of-the-art simulations.
  • Key Responsibilities Lead the development of advanced AI/ML infrastructure for multi-billion parameter foundation models.
  • Design and scale large distributed systems covering the ML lifecycle, supporting planet-scale dataset generation and model training.
  • Provide deep technical leadership on large-scale ML model architectures, especially for autonomous vehicle models.
  • Collaborate closely with core Google DeepMind and Waymo Realism Modeling teams.
  • Mentor junior engineers, growing their expertise and fostering a collaborative culture.
  • Requirements BS in Computer Science, Robotics, or similar technical field, or equivalent practical experience. 5+ years of professional software engineering experience, with at least 3 years in machine learning infrastructure.
  • Experience in developing, scaling, training, deploying, and optimizing large-scale machine learning systems.
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Tech stack

PythonTensorFlowPyTorchscikit-learnKubernetesDockerAWSGoogle CloudAzureCI/CDGit

Match insights

Tech:Python, TensorFlow, PyTorch, scikit-learn, Kubernetes
Level:Lead

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