ML Engineer Jobs at Waymo with Visa Sponsorship
ML Engineer jobs at Waymo sit at the intersection of perception, prediction, and real-world autonomy, requiring deep expertise in areas like sensor fusion, large-scale model training, and safety-critical systems. Waymo has a strong track record of sponsoring work visas for ML Engineers across multiple visa categories.
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Get Access To All JobsLOCATION:
MOUNTAIN VIEW, CALIFORNIA, UNITED STATES
SAN FRANCISCO, CALIFORNIA, UNITED STATES
JOB TYPE:
FULL-TIME
INTRODUCTION
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.
TaaS (Transportation as a Service) is responsible for building an amazing user experience and business around the Waymo Driver. We are responsible collectively for Growth, Territory Expansion, Service Quality (including pickup, dropoff and routing), Marketplace (pricing, positioning, matching), and Partnerships / B2B(2C) monetization.
The Marketplace team builds the core decision systems that keep Waymo running smoothly. They design the algorithms that match riders to vehicles, optimize routing, balance supply and demand, forecast rider demand, and power dynamic pricing. Their work ensures the fleet stays efficient, riders get fast pickups, and the AV network operates safely and profitably across cities.
The Pricing team drives Waymo's revenue and business strategy by developing dynamic pricing algorithms that balance supply and demand in real-time. They build sophisticated models to set pricing, ensuring the service remains competitive and attractive to riders while maximizing fleet utilization and profitability across all operating markets. Their work is critical to navigating the complexities of ride-hailing dynamics, balancing user price sensitivity with operational efficiency.
ROLE AND RESPONSIBILITIES
You will:
- Implement and scale Waymo's core dynamic pricing engine to drive revenue and business strategy across all operating markets.
- Develop and deploy sophisticated ML models and optimization algorithms to set real-time pricing that balances supply, demand, and user price sensitivity.
- Build and maintain infrastructure for pricing experimentation, monitoring, and analysis to ensure service competitiveness and fleet profitability.
- Partner with product data scientists to productionize innovative pricing models, such as route-specific and session-based pricing solutions.
BASIC QUALIFICATIONS
You have:
- BS degree in Computer Science or equivalent practical experience
- 4+ years of experience programming in backend coding languages
- Experience in building backend distributed system
- Experience in developing machine learning/optimization infrastructure and pipelines
- Prior experience building and deploying ML / Optimization models into production environments
PREFERRED QUALIFICATIONS
We prefer:
- Experience in C++
- MS in Computer Science, or equivalent practical experience
- Experience in developing low latency, large-scale, user facing distributed systems
- Experience at another Ride hailing or Marketplace company
COMPENSATION
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.
- Salary Range: $175,000—$215,000 USD
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.
LOCATION:
MOUNTAIN VIEW, CALIFORNIA, UNITED STATES
SAN FRANCISCO, CALIFORNIA, UNITED STATES
JOB TYPE:
FULL-TIME
INTRODUCTION
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.
TaaS (Transportation as a Service) is responsible for building an amazing user experience and business around the Waymo Driver. We are responsible collectively for Growth, Territory Expansion, Service Quality (including pickup, dropoff and routing), Marketplace (pricing, positioning, matching), and Partnerships / B2B(2C) monetization.
The Marketplace team builds the core decision systems that keep Waymo running smoothly. They design the algorithms that match riders to vehicles, optimize routing, balance supply and demand, forecast rider demand, and power dynamic pricing. Their work ensures the fleet stays efficient, riders get fast pickups, and the AV network operates safely and profitably across cities.
The Pricing team drives Waymo's revenue and business strategy by developing dynamic pricing algorithms that balance supply and demand in real-time. They build sophisticated models to set pricing, ensuring the service remains competitive and attractive to riders while maximizing fleet utilization and profitability across all operating markets. Their work is critical to navigating the complexities of ride-hailing dynamics, balancing user price sensitivity with operational efficiency.
ROLE AND RESPONSIBILITIES
You will:
- Implement and scale Waymo's core dynamic pricing engine to drive revenue and business strategy across all operating markets.
- Develop and deploy sophisticated ML models and optimization algorithms to set real-time pricing that balances supply, demand, and user price sensitivity.
- Build and maintain infrastructure for pricing experimentation, monitoring, and analysis to ensure service competitiveness and fleet profitability.
- Partner with product data scientists to productionize innovative pricing models, such as route-specific and session-based pricing solutions.
BASIC QUALIFICATIONS
You have:
- BS degree in Computer Science or equivalent practical experience
- 4+ years of experience programming in backend coding languages
- Experience in building backend distributed system
- Experience in developing machine learning/optimization infrastructure and pipelines
- Prior experience building and deploying ML / Optimization models into production environments
PREFERRED QUALIFICATIONS
We prefer:
- Experience in C++
- MS in Computer Science, or equivalent practical experience
- Experience in developing low latency, large-scale, user facing distributed systems
- Experience at another Ride hailing or Marketplace company
COMPENSATION
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.
- Salary Range: $175,000—$215,000 USD
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.
Tips for Finding ML Engineer Jobs at Waymo
Tailor your portfolio to autonomy-specific ML
Waymo's ML Engineering roles emphasize perception pipelines, motion forecasting, and on-device inference. Frame your projects around safety-critical or real-time ML systems rather than general deep learning work to stand out in early resume screens.
Confirm your visa category before applying
Waymo sponsors H-1B, H-1B1 visa, and E-3 visas for ML Engineers. If you're Australian or a Singapore national, the H-1B1 and E-3 categories skip the lottery entirely, which significantly changes your sponsorship timeline and certainty.
Use Migrate Mate to filter open ML Engineer roles
Waymo posts ML Engineer openings across specializations like simulation, prediction, and mapping. Use Migrate Mate to filter specifically for Waymo roles that list visa sponsorship, so you're applying to positions where sponsorship is already confirmed.
Prepare for a multi-stage technical interview process
Waymo's ML Engineer interviews typically include a coding screen, a machine learning systems design round, and domain-specific technical interviews. Practicing ML system design at the scale of autonomous vehicle pipelines gives you a concrete edge.
Request premium processing before your start date
Once you have an offer, ask your Waymo recruiter early whether premium processing will be used for your H-1B petition. USCIS standard processing can take months. Premium processing reduces the adjudication window to 15 business days and protects your start date.
Document your specialized experience for your LCA
Your employer files a Labor Condition Application with the DOL before submitting your H-1B petition. For ML Engineer roles, having clear documentation of specialized work in areas like neural network architecture or reinforcement learning strengthens the specialty occupation classification.
Frequently Asked Questions
Does Waymo sponsor H-1B visas for ML Engineers?
Yes, Waymo sponsors H-1B visas for ML Engineers and has a consistent track record of doing so across its engineering organization. Sponsorship typically covers the full H-1B petition process, including the Labor Condition Application filed with the DOL. If you're subject to the H-1B lottery, your petition must be selected before USCIS can adjudicate it, so timing your application cycle matters.
Which visa types does Waymo commonly use for ML Engineers?
Waymo sponsors H-1B, H-1B1 visa, E-3 visa, and Green Card pathways including EB-2 and EB-3 for ML Engineers. Australian citizens can use the E-3 visa, which has its own annual allocation and no lottery. Singapore nationals may qualify for the H-1B1. Both are often faster paths to starting work than the standard H-1B cap process.
How do I apply for ML Engineer jobs at Waymo?
Applications go through Waymo's careers portal. ML Engineer roles are organized by specialization, including areas like perception, prediction, mapping, and simulation, so search by subdomain rather than just the job title. You can also browse current Waymo ML Engineer openings that confirm visa sponsorship on Migrate Mate, which filters roles specifically for candidates who need sponsorship.
What qualifications and experience does Waymo expect for ML Engineer roles?
Most Waymo ML Engineer positions require a graduate degree in computer science, electrical engineering, or a related field, along with hands-on experience training and deploying large-scale models. Practical experience with sensor data, real-time inference, or safety-critical ML systems is weighted heavily. Strong publication records or open-source contributions in relevant areas can differentiate candidates in competitive roles.
How do I understand the visa sponsorship timeline for a Waymo ML Engineer offer?
Once Waymo extends an offer, the sponsorship process begins with a DOL Labor Condition Application, followed by the USCIS H-1B petition. Standard processing can take three to six months. If you're on OPT, your 60-day grace period and OPT expiration date directly affect whether a cap-gap or premium processing strategy is needed. Clarify these timelines with your recruiter before signing.