Senior ML Engineer - Offline Perception
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El puesto
Design, implement, test, and deploy offline perception modules to automatically generate annotations from logged sensor data (cameras, LiDAR, and radar).
Lead data ingestion, preparation, curation, and governance for large, multi-faceted datasets supporting analytics and ML workflows.
Independently develop offline perception models and algorithms using disciplined software development practices, version control, and thorough documentation.
Own evaluation of model quality and feature accuracy, while improving productivity, labeling speed, and reliability through scalable ML operations.
Mentor engineers, guide project execution across teams, and communicate results to cross-functional stakeholders.
Create visualization tools and information products for data accessibility and decision-making by internal teams.
Lead data ingestion, preparation, curation, and governance for large, multi-faceted datasets supporting analytics and ML workflows.
Independently develop offline perception models and algorithms using disciplined software development practices, version control, and thorough documentation.
Own evaluation of model quality and feature accuracy, while improving productivity, labeling speed, and reliability through scalable ML operations.
Mentor engineers, guide project execution across teams, and communicate results to cross-functional stakeholders.
Create visualization tools and information products for data accessibility and decision-making by internal teams.
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