Staff Machine Learning Engineer, Data Curation & Dataset Strategy

Highlights

• Own ingestion-time model scoring driving data for hot, cold or archive routing.
• Shape dataset strategy guiding what model teams train on at exabyte scale.
• Deliver measurable storage savings as fleet and OEM data ingestion scales.

What they offer

• Salaries benchmarked against the market annually
• Meaningful equity sharing in long-term success
• Relocation support and visa sponsorship where applicable
• Learning and development budgets for training and conferences
• Comprehensive health, dental, parental leave, pension and wellbeing benefits

Ideal candidate

Hands-on ML leader with AV/robotics background who loves turning petabyte-scale driving data into better models. Pragmatic, high-ownership and quantitative, you enjoy setting direction across teams to balance model quality and cost.

Requirements

• Strong autonomous-vehicle or robotics experience with large-scale driving or sensor data
• Hands-on ML engineer experienced building models that score, select or filter data
• Operated at petabyte scale and comfortable with large-scale engineering
• Strong in Python and Spark with large-scale cloud data experience
• Strong quantitative intuition for practical, measurable decisions
• Pragmatic, high-ownership, able to set direction across teams without authority