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, radar) on Cloud Services.
Lead project efforts, guiding engineers across multiple facets of execution and coordinating with cross-functional teams.
Independently develop offline perception models and algorithms, applying disciplined software development practices, version control, and documentation.
Define ingestion, data preparation, curation, and governance for large, multi-faceted datasets to support analytics workflows.
Measure and improve auto-labeling quality to meet internal customer requirements and build visualization/data-access tools for stakeholders.
Stay current with AI/ML advances for autonomous perception, propose improvements, and establish standards for analytics, deployment, and team mentorship.
Lead project efforts, guiding engineers across multiple facets of execution and coordinating with cross-functional teams.
Independently develop offline perception models and algorithms, applying disciplined software development practices, version control, and documentation.
Define ingestion, data preparation, curation, and governance for large, multi-faceted datasets to support analytics workflows.
Measure and improve auto-labeling quality to meet internal customer requirements and build visualization/data-access tools for stakeholders.
Stay current with AI/ML advances for autonomous perception, propose improvements, and establish standards for analytics, deployment, and team mentorship.
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