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.
Rigorous evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo’s ambitious goals. In this role, you will lead a data science team specializing in evaluating the Waymo Driver’s ability to comply with rules of the road. Road rule-related behaviors are some of the most challenging to identify, and areas of work include understanding human baseline performance, partnering with ML engineers to improve detection capabilities, and delivering critical insight about the Driver’s current capabilities and opportunities for improvement.
In this hybrid role you will report to the DS Lead for Driving Quality.
You will:
- Define and uphold a high bar for measurement rigor. Ensure we can confidently rely on the evaluation signals informing deployment and scaling decisions. Identify and work to resolve any gaps where current evaluation signals are not scaling with Waymo’s business or providing the necessary actionability for stakeholders.
- Develop and adapt our evaluation framework to accommodate road rules across multiple countries.
- Collaborate with leads in product, engineering, and systems engineering to align to unlock key Waymo deployment milestones. Be an opinionated partner informing roadmaps for engineering work to improve our measurement capabilities.
- Measure performance of the Waymo driver in new territories and hardware platforms, providing input on Waymo’s readiness to scale in new markets. Communicate these findings to senior stakeholders.
- Be an active technical contributor on the team, as well as a technical lead and/or manager to several data scientists. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods. Champion data science excellence and provide constructive technical feedback within the team and across Waymo.
You have:
- Degree in a quantitative field (e.g. Statistics, Mathematics, Physics)
- Either a PhD in a quantitative field and 8+ years of industry experience, or 12+ years of industry experience solving data science problems.
- Experience as both a technical lead and a people manager.
- Experience working in highly cross-functional teams and championing data-driven culture.
- Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models
- Demonstrated knowledge of data analysis libraries and packages in Python, R, and/or SQL.
We prefer:
- PhD in a quantitative field
- A demonstrated track record of independently driving data science projects to deliver business value
- Experience solving problems related to Autonomous Driving or Ride Hailing.
- Experience with large-scale evaluation frameworks for software development.
- Experience in adjacent relevant areas like Advanced Machine Learning, Traffic Modeling, Safety Evaluation or Prediction
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.
Skills Required
- Degree in a quantitative field such as Statistics, Mathematics, or Physics
- PhD in a quantitative field and 8+ years of industry experience, or 12+ years of industry experience solving data science problems
- Experience as both a technical lead and a people manager
- Experience working in highly cross-functional teams and championing a data-driven culture
- Expertise using advanced statistical methods in an applied setting
- Familiarity with machine learning systems and models
- Knowledge of data analysis libraries and packages in Python, R, and/or SQL
- PhD in a quantitative field
- Track record of independently driving data science projects to deliver business value
- Experience with autonomous driving or ride-hailing problems
- Experience with large-scale evaluation frameworks for software development
- Experience in advanced machine learning, traffic modeling, safety evaluation, or prediction
Waymo Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Waymo and has not been reviewed or approved by Waymo.
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Fair & Transparent Compensation — Pay is considered strong for full‑time technical roles, aligning with top‑tier AV/Big Tech benchmarks. Employer materials also emphasize competitive pay with eligibility for bonuses and equity as part of total rewards.
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Healthcare Strength — Coverage spans medical, dental, vision, mental‑health resources, onsite wellness centers, and counseling, with specialized programs such as menopause and transgender medical advocacy. Dependents are included, indicating depth across core health needs.
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Parental & Family Support — Offerings include fertility and family‑forming assistance, parental and baby‑bonding leave, caregiver and elder‑care support, and backup childcare. These programs are positioned to support families through multiple life stages.
Waymo Insights
What We Do
Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to move around. With the Waymo Driver, we can improve the world’s mobility while saving thousands of lives. Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.
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