Senior Machine Learning Engineer, Waymo

• Bachelor or Master’s degree in Computer Science, similar technical field of study, or equivalent practical experience
• Experience in ML engineering and applied Deep Learning
• Experience with large scale distributed system
• Proficient programming skills (eg: Python, C/C++)

Desirable

• The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions
• As part of our work, we also initiate and foster collaborations with other research teams in Alphabet
• AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation
• This role follows a hybrid work schedule and you will report to a Senior Staff Software Engineer
• Work with a creative team of people who help to build the state-of-the-art Foundation Models that are used throughout Waymo’s systems, both onboard autonomous vehicles and offboard in simulation
• Drive the development or significantly contribute to end-to-end evaluation systems and benchmarks for Waymo Foundation models, encompassing the entire life-cycle from pre-training and supervised fine-tuning (SFT) to reinforcement learning (RL), for evaluating the quality, safety, and realism of embodied AI agents
• Partner with cross-functional teams within the organization to land innovative tech in production
• Implement and extend large large scale data and evaluation pipelines