18 hours ago
Base Salary
$213k - $263k/yr
Responsibilities
- Evaluate and launch machine-learning models that generate maps from raw data.
- Collaborate with onboard engineering teams to evolve Waymo’s mapping format for automation.
- Apply statistical analysis to validate large-scale system changes.
- Build backend infrastructure for storing and processing map data.
- Scale mapping systems to support worldwide coverage.
- Work across labeling, training, evaluation, and inference and measure impact on the overall system.
Requirements
- Bachelor’s degree in Computer Science or a similar technical field, or equivalent practical experience.
- Hands-on experience with statistical analysis, experiment design, and quantitative evaluation of machine-learning models or data pipelines.
- Experience building scalable data-processing pipelines with distributed frameworks such as Google Data Flow or Apache Beam.
- Ability to own complex technical problems end to end and deliver measurable results in a collaborative environment.
- Passion for good software engineering.
Benefits
- Hybrid work arrangement, as indicated by the #LI-Hybrid designation.
- Eligibility for a discretionary annual bonus program, equity incentive plan, and company benefits program, subject to eligibility requirements.
Tech Stack
Apache BeamC++
Categories
About Waymo
Waymo develops the Waymo Driver, a full-stack autonomous driving system, and operates the Waymo One robotaxi service that offers paid, driverless rides in select U.S. cities. The company monetizes through ride-hailing fares and partnerships integrating its technology on multiple vehicle platforms. Founded in 2009 as Google’s self-driving project, Waymo is headquartered in Mountain View and is an Alphabet subsidiary, with over 10 million rider-only trips and 100+ million autonomous miles on public roads.