Waymo is looking to solve the problem of improving access to mobility while saving thousands of lives lost to traffic crashes by developing and deploying fully autonomous driving technology
Requirements
A strong understanding of machine learning workflows, data pipelines, and the common challenges faced in developing and deploying ML models at scale
Hands-on experience with large-scale data infrastructure (e.g. data lakes, feature stores), distributed data mining and processing frameworks, and large transformer model training workflows
Direct product management experience with advanced data mining/sampling techniques and training dataset curation
Familiarity with concepts in active learning, semi-supervised learning, outlier detection, or hard example mining
Experience in the autonomous vehicles industry, robotics, or other domains with complex safety-critical real-world AI/ML applications
Responsibilities
Define and champion the product vision, strategy, and roadmap for Perception ML Training workflows, focusing on data extraction, data transformation and preparation, and intelligent data mining and selection for large model training and evaluation
Deeply understand the needs, pain points, and opportunities of Perception ML engineers and researchers, translating these insights into clear platform requirements, features, and priorities
Lead the end-to-end product lifecycle for key platform components, from ideation and requirements definition through launch and iteration, ensuring a seamless experience for our internal users
Drive initiatives to demonstrably accelerate ML model development velocity, improve data quality and accessibility, and ultimately enhance onboard model performance through platform innovations
Collaborate closely with world-class Engineering, Research, and ML Platform teams to deliver impactful solutions, define and track success metrics, and ensure tight alignment with Waymo's overall goals
Other
A Bachelor's degree in a technical field such as Computer Science, Mathematics, or Engineering, or equivalent practical experience
4+ years of Product Management experience, with a proven track record of defining, launching, and scaling complex technical products
Excellent problem-solving, analytical, communication, and interpersonal skills, with the ability to influence and align cross-functional teams and stakeholders
Ability to work in a hybrid work schedule and report to a Director of Product Management
