Job Description
📋 Description Define strategic vision for evaluation platforms and infrastructure for next-generation ML model Collaborate cross-functionally with ML engineers, data scientists, and infrastructure teams to Scale evaluation platforms to improve ML developer velocity and enable faster, more reliable model Manage and mentor a focused team of engineers, aligning career growth with organizational needs Drive best practices using the Alphabet ML stack (TensorFlow, JAX, Flax, Apache Beam) to optimize Stay at the forefront of ML evaluation methodologies and advanced metrics design 🎯 Requirements M.S. in CS, Math, or equivalent in robotics or large-scale ML systems with evaluation needs 5+ years building large-scale distributed infrastructure or ML inference/evaluation platforms; 3+ Strong coding in Python and C++ Foundational knowledge of model evaluation, data science principles (confidence intervals, outlier Familiarity with deployment/orchestration tools (TF Serving, TorchServe, Kubeflow, SageMaker Understanding of ML fundamentals and frameworks (JAX, PyTorch, TensorFlow) 🎁 Benefits Participation in Waymo’s discretionary annual bonus program and equity incentive plan Generous company benefits program subject to eligibility
