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.
Tech stack
PythonTensorFlowPyTorchscikit-learnKubernetesDockerAWSGoogle CloudAzureCI/CDGit
Match insights
Tech:Python, TensorFlow, PyTorch, scikit-learn, Kubernetes
Level:Lead