Job description
Waymo is an autonomous driving technology company with the mission to be the world’s most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World’s Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Within Perception, the Discovery Eval team delivers early, actionable, and strategic insights into driver performance. We design automated analytic workflows using Large Language Models to cluster, summarize, and surface critical issues from simulation and real-world data. Our work orchestrates the full lifecycle of these discoveries to directly feed the ML training flywheel and ensure perception models operate with high precision and reliability.
In this hybrid role, you will report to an engineering manager.
You will:
- Design, develop, and implement automated eval analytic workflows using large language models and other AI techniques to analyze and categorize events from perception evaluation systems.
- Build and maintain scalable data pipelines to automatically cluster, summarize, and surface critical issue categories discovered through large-scale simulation and real-world data.
- Develop an orchestration system to manage the lifecycle of discovered issues, including data sampling, annotation, and integration into the ML training and evaluation flywheel.
- Enhance and support core discovery tools and frameworks, focusing on improving the precision, recall, and reliability of automated issue detection.
- Expand the capabilities of discovery evaluation systems to cover a broader range of perception signals and other advanced outputs.
- Collaborate with other engineers, ML infrastructure teams, and researchers to integrate cutting-edge AI techniques and build robust, end-to-end evaluation solutions.
You have:
- BS or MS in Computer Science or a related field.
- 2+ years of software development experience (3+ years for L5).
- Strong programming skills in Python and/or C++.
- Experience with data analysis, data pipelines, and working with large datasets.
- Solid understanding of machine learning concepts and evaluation methodologies.
- Excellent problem-solving skills and ability to work independently and collaboratively.
We prefer:
- Experience in developing or utilizing AI-powered agentic workflows.
- Familiarity with evaluation framework in autonomous vehicle systems or robotics.
- Hands-on experience with ML infrastructure and tools.
- Experience with large-scale data processing systems.
- Proven ability to design and implement novel evaluation metrics and techniques.
- Experience with data visualization tools and techniques.
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. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range
$170,000—$216,000 USD
