Waymo · 5 days ago
Staff Machine Learning Engineer, Simulation
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. They are seeking a Staff Machine Learning Engineer to develop ML models that assess autonomous vehicle behavior and build ML infrastructure to support these models.
Artificial Intelligence (AI)AutomotiveAutonomous VehiclesSensorTransportation
Responsibilities
Develop ML models that assess our autonomous vehicle's behavior
Develop ML infrastructure to support performant models
Collaborate across teams to bring state-of-the-art to production
Qualification
Required
BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area, or equivalent work experience
4+ years of experience building productionized ML models
Code and design skills: comfort building production systems (Python / C++)
Background in applied Deep Learning
A track record in improving model quality
Preferred
6+ years of experience building productionized ML models
Experience in reinforcement learning, transfer learning, or learning
Experience with large scale data and models
Benefits
Waymo’s discretionary annual bonus program
Equity incentive plan
Generous Company benefits program
Company
Waymo
Waymo is a mobility technology company that improves transportation by developing self-driving solutions for travelers and daily commuters. It is a sub-organization of Alphabet.
H1B Sponsorship
Waymo has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (231)
2024 (175)
2023 (268)
2022 (306)
2021 (298)
2020 (317)
Funding
Current Stage
Late StageTotal Funding
$11.1BKey Investors
Alphabet
2024-07-23Series C· $5.6B
2021-06-16Series B· $2.5B
2020-05-12Series A· $750M
Recent News
2026-01-12
UK Investor Magazine
2026-01-11
Company data provided by crunchbase