This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

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. This role follows a hybrid work schedule and you will report to a Senior Research Scientist.

• Develop and extend cutting-edge research in robotics and machine learning to advance state-of-the-art methodologies for evaluating the quality, safety, and realism of embodied AI agents
• Partner within and across organizations to land disruptive and innovative tech in production
• Work with a variety of state-of-the-art Foundation Models
• Drive model development through defining evaluation and benchmarks
• Implement and extend large scale data and evaluation pipelines

Qualifications

• Masters degree in Computer Science, Machine Learning, Robotics, similar technical field of study, or equivalent practical experience
• Proficiency in Python
• Familiarity with one of the modern deep learning frameworks (e.g. Pytorch, JAX, Tensorflow)
• Prior work in an industrial or research setting developing methodologies for the evaluation of ML models

Requirements

• Strong hands-on SWE skills, able to design, implement, and extend large distributed pipelines
• Track record of publications in top-tier conferences or leading open source projects in the related fields
• Proficiency in C++
• Experience in AV planning and related research
• Experience in labeling and curating data for ML eval and training

Benefits

• Eligibility to participate in Waymo’s discretionary annual bonus program
• Equity incentive plan
• Generous Company benefits program, subject to eligibility requirements

Salary Range

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level.

Salary Range: $170,000 — $216,000 USD