The opportunity
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…
What you'll do
Influence the strategic direction of foundational infrastructure and: evaluation platforms to robustly support next-generation ML model evaluation use cases
Collaborate cross-functionally with ML engineers, data scientists, and: infrastructure teams to identify, define, and surface critical signals on model, component, and system-level performance
Leverage and scale evaluation and infrastructure platforms to significantly: enhance the ML developer experience, enabling faster iteration through earlier, more reliable, and trusted model evaluation
Manage and mentor a focused team of engineers, aligning their career growth: and aspirations with critical organizational needs
Drive best practices and leverage deep technical awareness of the Alphabet ML: stack (e.g., TensorFlow, JAX, Flax, Apache Beam) to optimize evaluation workflows
Stay at the forefront of emerging technologies, industry trends, and research: in ML evaluation methodologies and advanced metrics design
What they're looking for
- M.S. in Computer Science, Mathematics, or equivalent industry experience in: Robotics or large-scale ML systems with critical evaluation needs
- + years of experience building and maintaining large-scale distributed: infrastructure, ML inference systems, or evaluation platforms, including 3+ years of engineering management experience
- Strong coding and testing proficiency, specifically in Python and C++
- Strong foundational knowledge of model evaluation and core data science: principles (e.g., confidence intervals, outlier identification, curve fitting, and causality analysis)