Senior HD Mapping Engineer — ML & Evaluation

Waymo LLC; Mountain View (CA); Ibrido; CAD 298.000 - 367.000; Tempo pieno

Descrizione del lavoro

Waymo LLC in Canada is seeking an experienced ML Engineer to evaluate and launch models that automatically generate maps from raw data and to evolve the mapping format for automation. You will partner with onboard engineering teams to apply statistical analysis, validate large-scale changes, and build backend infrastructure to store and process diverse map data at global scale.

The role requires a strong background in distributed data processing, ownership of end-to-end technical problems, and a

Competenze

• BS in Computer Science or equivalent, or related technical field.
• Experience with statistical analysis 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 own complex technical problems end-to-end and deliver results in a collaborative team.
• Passion for good software engineering.

Mansioni

• Evaluate and launch ML models that automatically generate map from raw data.
• Work with onboard teams to evolve Waymo's mapping format to automation-friendly.
• 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.

Conoscenze

Statistical analysis

Experiment design

Quantitative evaluation

Distributed data processing

Formazione

B.S. in Computer Science or similar field

Strumenti

Google Data Flow

Apache Beam

Descrizione del lavoro

Waymo LLC in Canada is seeking an experienced ML Engineer to evaluate and launch models that automatically generate maps from raw data and to evolve the mapping format for automation. You will partner with onboard engineering teams to apply statistical analysis, validate large-scale changes, and build backend infrastructure to store and process diverse map data at global scale.

The role requires a strong background in distributed data processing, ownership of end-to-end technical problems, and a