Machine Learning TLM, Waymo

• PHD or M.S. in CS, EE, Deep Learning or related fields
• 7+ years of experience leading engineering teams of 5-15 people
• Academic foundation and industrial expertise in machine learning, with the ability to assess technical trade-offs and their impact on project scope, risk, and timelines
• 7+ years of hands-on experience building and deploying machine learning products in production environments
• 7+ years of experience applying machine learning to solve complex challenges
• Exposure to and practical knowledge of generative AI technologies

Desirable

• The Simulator Team at Waymo builds simulations of realistic environments for testing and training the Waymo Driver
• We are a diverse,, and collaborative group of software engineers, machine learning (ML) engineers, and data scientists
• We develop industry-leading simulation solutions using advanced ML algorithms that measure and enhance the performance of the Waymo Driver
• By applying machine learning, we model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, and weather conditions
• To increase the fidelity and steerability of our simulations, we employ the latest ML technologies such as large foundation models trained on our datasets and diffusion technology
• We also invest in capable infrastructure that allows us to quickly set up and roll out multiple scenarios to rigorously test our autonomous driving systems
• In this hybrid role, you will report to a Senior Engineering Manager
• Lead a top-tier applied ML team focused on building ML-driven especially Generative AI (GenAI) simulation solutions to accelerate Waymo’s growth
• Develop remarkable ML and software engineers in an exciting, fast-paced, and diverse environment
• Set technical direction for the team and Guide the whole lifecycle of product innovation:
• Create quarterly and annual technical roadmaps that meet product requirements and guide the team’s efforts towards those goals
• Work with other departments to align execution with product goals
• Collaborate with technical leads, product managers, and program managers to lead and complete broad plans