Machine Learning Engineer - Perception

What you will be doing

• 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

What will you have

• 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