Senior ML Engineer - HD Mapping, Scalable Pipelines, Equity

Neura Market; San Francisco, Northern (CA, KY); Hybrid; USD 213,000 - 263,000; Full time

Job summary

Waymo is seeking a technically strong candidate to join the Roadgraph team to build applied ML models, evaluation engines, and large-scale data infrastructure powering high-definition mapping for the Waymo Driver.

You will engage in the full modeling life cycle—from labeling and training to inference—working closely with onboard engineers to deliver impactful, reliable mapping solutions at scale.

Qualifications

• B.S. in Computer Science or a similar technical field or equivalent practical experience.
• Hands-on statistical analysis, experiment design, and quantitative evaluation of ML models or data pipelines.
• Experience building scalable data processing pipelines using distributed frameworks like Google Data Flow or Apache Beam.
• Demonstrated ability to take ownership of complex technical problems end-to-end and deliver measurable results.
• A passion for good software engineering.

Responsibilities

• Evaluate and launch machine learning models that automatically generate maps from raw data.
• Collaborate with onboard teams to evolve mapping formats for automation friendliness.
• Apply statistical analysis to validate large-scale changes.
• Build backend infrastructure for storing and processing map data.
• Scale our systems to support mapping the whole world.

Skills

Statistical analysis

Experiment design

ML model evaluation

Data pipelines

Ownership

Software engineering

Education

B.S. in Computer Science or equivalent

Master’s or Ph.D. in CS/ML/Robotics/CS Vision or related

Tools

Google Data Flow

Apache Beam

Job description

Waymo is seeking a technically strong candidate to join the Roadgraph team to build applied ML models, evaluation engines, and large-scale data infrastructure powering high-definition mapping for the Waymo Driver.

You will engage in the full modeling life cycle—from labeling and training to inference—working closely with onboard engineers to deliver impactful, reliable mapping solutions at scale.