Senior, ML Engineer - Offline Perception
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The role
Line 1: Design, implement, test, and deploy offline perception modules to automatically generate annotations from logged sensor data (cameras, LiDAR, radar) in cloud services, including 2D/3D bounding boxes, trajectories, lanes, depths, and related annotations.
Line 2: Lead projects and guide less experienced team members across planning, execution, and delivery with strong collaboration and communication.
Line 3: Stay current with AI/ML advances for autonomous driving and independently develop offline perception models using disciplined software development practices.
Line 4: Define ingestion, data preparation, curation, and governance for large, multi-faceted datasets supporting analytics models and workflows.
Line 5: Measure and improve auto-labeling quality to meet internal customer requirements, and produce information products with visualization for data accessibility.
Line 6: Establish standards and best practices for analytics and ML model deployment, and provide technical guidance and mentorship within the team.
Line 2: Lead projects and guide less experienced team members across planning, execution, and delivery with strong collaboration and communication.
Line 3: Stay current with AI/ML advances for autonomous driving and independently develop offline perception models using disciplined software development practices.
Line 4: Define ingestion, data preparation, curation, and governance for large, multi-faceted datasets supporting analytics models and workflows.
Line 5: Measure and improve auto-labeling quality to meet internal customer requirements, and produce information products with visualization for data accessibility.
Line 6: Establish standards and best practices for analytics and ML model deployment, and provide technical guidance and mentorship within the team.
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