Machine Learning Engineer - Perception

• Train and evaluate 3D perception models for object detection, segmentation, and lane detection
• Improve model performance across challenging conditions such as long range and sparse point clouds
• Deploy perception models to production and own the full lifecycle from research to real-world integration
• Diagnose and resolve deployment issues including latency, accuracy degradation, and edge case failures in the field
• Monitor model performance in production and iterate rapidly based on real-world feedback
• Build auto-labeling pipelines using vision-language models to accelerate data annotation

• MS or PhD in CS, Robotics, or a related field
• Hands-on experience with 3D object detection on LiDAR point clouds
• Experience using VLMs for auto-labeling or offline perception tasks
• Strong Python and PyTorch skills
• Familiarity with large-scale dataset pipelines and annotation workflows
• Experience with multi-object tracking or sensor fusion is a plus

Experience with multi-object tracking or sensor fusion is a plus

• Comprehensive medical, dental, and vision coverage
• Pre-tax commuter and health care/dependent care accounts
• 401k plan
• Life and disability benefits
• Flexible time off
• Paid parental leave
• 11 paid holidays annually