Waymo is seeking a Senior Machine Learning Engineer (Infrastructure) for Driver Understanding and Evaluation to design and operate scalable machine learning and data systems, simulation workflows, and insight tools that support evaluation across the Waymo driver stack. The DUE Machine Learning team will combine expert human judgments with advanced ML models to deliver training and evaluation data for hundreds of metrics and components that comprise the Waymo driver. You will: Build scalable systems for training and fine tuning large scale models to evaluate driving behaviors; work at the intersection of data engineering, model development, and simulation; provide guidance on architectural decisions and technical directions; own large, complex systems and architectures that meet technical and business objectives; contribute to the production and optimization of ML models to assess Waymo’s expansive fleet; design and scale large distributed systems covering the ML lifecycle, supporting planet scale dataset generation, model training, and evaluation; collaborate cross functionally to translate product/business goals into measurable technical deliverables, ensuring component alignment. Requirements include: MS or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent practical experience; 5+ years in machine learning infrastructure, including developing, designing, scaling, training, deploying, and optimizing large scale ML systems from data to model; experience with ML tooling such as PyTorch, Jax, TensorFlow, Ray, or similar, und

Waymo is seeking a Senior Machine Learning Engineer (Infrastructure) for Driver Understanding and Evaluation to design and operate scalable machine learning and data systems, simulation workflows, and insight tools that support evaluation across the Waymo driver stack. The DUE Machine Learning team will combine expert human judgments with advanced ML models to deliver training and evaluation data for hundreds of metrics and components that comprise the Waymo driver. You will: Build scalable systems for training and fine tuning large scale models to evaluate driving behaviors; work at the intersection of data engineering, model development, and simulation; provide guidance on architectural decisions and technical directions; own large, complex systems and architectures that meet technical and business objectives; contribute to the production and optimization of ML models to assess Waymo’s expansive fleet; design and scale large distributed systems covering the ML lifecycle, supporting planet scale dataset generation, model training, and evaluation; collaborate cross functionally to translate product/business goals into measurable technical deliverables, ensuring component alignment. Requirements include: MS or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent practical experience; 5+ years in machine learning infrastructure, including developing, designing, scaling, training, deploying, and optimizing large scale ML systems from data to model; experience with ML tooling such as PyTorch, Jax, TensorFlow, Ray, or similar, und