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.
The Labeling Platform Team creates data solutions to power groundbreaking research and development during all stages of the ML Lifecycle: pretraining, supervised fine-tuning, reinforcement learning, etc. The labeled data that the team produces is used to directly enhance and evaluate the Waymo Driver as well as the vast variety of models that power other parts of the business.
In this hybrid role you will report to a Technical Lead Manager/Staff Software Engineer.
You will:
- Build state of the art labeling infrastructure to enable production of labeled datasets.
- Improve the "data flywheel" end to end efficiency through automation and monitoring.
- Work with the labeling operations teams to hillclimb on process efficiencies and build tooling to manage large workforces and distribute tasks effectively.
You have:
- Bachelor's degree in Computer Science, Engineering, or related field, and 3+ years equivalent experience
- Experience developing data annotation/review tools. EG: Labeling for ML, Content Reviews for Trust and Safety, etc.
- Experience building API servers, web backends.
- Experience building, optimizing, debugging, and maintaining large scale data processing pipelines.
- Proficiency in Typescript and/or Frontend frameworks (Angular, ReactJS).
We prefer:
- Experience in developing diverse data annotation tooling and infrastructure.
- Knowledge of the application of labeled datasets within the full ML ecosystem.
- Experiencing programming using C++, Python.
- Hands-on experience with LLM/GenAI-based products.
((Remote jobs only - Please note that Waymo may not be able to employ remotely in all locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process.))
#LI-Hybrid
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
- Bachelor's degree in Computer Science, Engineering, or related field and 3+ years equivalent experience
- Experience developing data annotation/review tools (labeling for ML, content review, etc.)
- Experience building API servers and web backends
- Experience building, optimizing, debugging, and maintaining large scale data processing pipelines
- Proficiency in Typescript and/or frontend frameworks (Angular, ReactJS)
- Experience in developing diverse data annotation tooling and infrastructure
- Knowledge of application of labeled datasets within the full ML ecosystem
- Experience programming using C++ and/or Python
- Hands-on experience with LLM/GenAI-based products
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.
