Waymo Logo

Waymo

Senior Staff Manager, Data Science

Posted 11 Days Ago
Be an Early Applicant
In-Office
Mountain View, CA, USA
298K-368K Annually
Senior level
In-Office
Mountain View, CA, USA
298K-368K Annually
Senior level
Lead a data science team evaluating autonomous driving compliance with road rules. Define rigorous measurement frameworks, improve statistical evaluation methods, assess performance across territories and hardware platforms, and inform deployment decisions. Partner with product, engineering, and systems teams on roadmaps and milestones. Contribute technically while managing and mentoring data scientists, solving ambiguous problems, and communicating findings to senior stakeholders.
The summary above was generated by AI

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. 

Salary Range
$298,000—$368,000 USD
HQ

Waymo Mountain View, California, USA Office

1600 Amphitheatre Pkwy, Mountain View, CA, United States, 94043

Waymo San Francisco, California, USA Office

San Francisco, United States

Similar Jobs

A Minute Ago
In-Office
Sunnyvale, CA, USA
151K-294K Annually
Senior level
151K-294K Annually
Senior level
Artificial Intelligence • Cloud • Information Technology • Consulting
Supports pre-sales engagements for enterprise networking and security solutions. Designs architectures, develops technical recommendations, delivers presentations and demonstrations, conducts proof-of-concept engagements, and contributes to RFP, RFI, and RFQ responses. Partners with sales teams, customers, and technology partners to translate business requirements into solutions, provide technical guidance, and differentiate offerings. Requires strong networking expertise, customer-facing communication, and experience with enterprise campus, branch, WAN, or data center environments.
Top Skills: AnsibleApstraAWSBgpCcieCcnpContainerizationData Center Fabric ArchitecturesDdos ProtectionDevOpsEvpnGoogle Cloud PlatformIgpsInfrastructure As CodeIpsecJncieJncipJuniperLayer 2 VpnLayer 3 VpnAzureMistMplsNetconfNfvNgfwParagonPythonRoutingSwitchingTraffic EngineeringVirtualizationVxlanYang
A Minute Ago
In-Office
Sunnyvale, CA, USA
124K-251K Annually
Senior level
124K-251K Annually
Senior level
Artificial Intelligence • Cloud • Information Technology • Consulting
Leads mechanical design, structural FEA, analysis, testing, and qualification of complex networking systems from concept through production. Responsibilities include chassis and fixture design, simulation-to-test correlation, dynamic testing, tolerance analysis, root-cause investigations, manufacturing support, and corrective action implementation. The role collaborates with ASIC, hardware, manufacturing, suppliers, and cross-functional engineering teams while ensuring structural integrity, reliability, manufacturability, and regulatory compliance.
Top Skills: 3D-Scanning MetrologyAccelerometersAnsys WorkbenchAstm D4169CadEcad-Mcad IntegrationEmcEmiEpdmFeaGd&TGr-63HaltIdf WorkflowsIpc-9704Ls-DynaMdvtNebsSolidworksStrain Gauges
2 Minutes Ago
In-Office or Remote
Colorado, USA
125K-294K Annually
Mid level
125K-294K Annually
Mid level
Artificial Intelligence • Cloud • Information Technology • Consulting
Designs and presents HPE compute solutions for customer workloads, including configurations, bills of materials, validations, RFP responses, demonstrations, proofs of concept, and benchmarks. The role translates business and technical requirements into scalable architectures, supports sales pipelines and forecasts, collaborates with account teams and partners, and remains engaged through implementation handoff. It also develops customer relationships, identifies expansion opportunities, maintains certifications, and shares technical knowledge.
Top Skills: Ai-Capable ServersCrm SystemsHpe EdgelineHpe ProliantHpe Synergy

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account