Senior Applied Research Scientist, Waymo

• Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
• 3+ years experience in Machine Learning and Computer Vision
• Experience with Python
• Experience with ML frameworks like PyTorch or JAX

Desirable

• The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), i.e. , the system that “perceives” the world around the car
• We work jointly with downstream teams on the optimization and integration into the Waymo Driver
• We conduct our own research to address real-world problems and collaborate with research teams at Alphabet
• We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware
• In this hybrid role you will report to a Technical Lead Manager
• Own tasks in the ML Driver, take responsibility for task scaling and task performance, create ML methods and recipes to scale and improve tasks
• Analyze behavior of ML systems in real-world application, identify issues and root causes, advise or develop short- and long-term solutions
• Monitor ML systems in production, develop methods for automatically detecting issues or regressions, develop AI-aided analysis and debugging tooling
• Develop and maintain metrics for ADV relevant issues, including safety-critical and longtail issues