Build and operate the petabyte-scale data systems and ML pipelines at the heart of Waymo's foundation model development
Shepherd cutting-edge foundation models from research prototypes to robust components within the Waymo Driver
Create the automated infrastructure for rigorously benchmarking, continuously monitoring, and safely releasing models
Wield large-scale compute and frameworks like Flume and JAX to process massive datasets and train/deploy complex models
Drive significant leaps in the speed, reliability, and efficiency of the end-to-end ML development lifecycle
Partner with AI Foundations, ML, and Platform experts to transform model innovations into tangible on-road improvements

Requirements

Masters degree in Computer Science, Machine Learning, Robotics, similar technical field of study, or equivalent practical experience
Proficiency in Python
Proficiency in C++
Familiarity with one of the modern deep learning frameworks (e.g. Pytorch, JAX, Tensorflow)
Experience building or maintaining large-scale data pipelines or ML infrastructure (e.g., Flume, Spark, Borg, Kubeflow)

Benefits

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program
Equity incentive plan
Generous Company benefits program, subject to eligibility requirements.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

PythonC++deep learningmachine learningdata pipelinesML infrastructurebenchmarkingmodel deploymentdata processingmodel training

collaborationproblem-solvingcommunicationleadershiporganizational skills

Masters degree in Computer ScienceMasters degree in Machine LearningMasters degree in Robotics