Senior Machine Learning Engineer - 3D Segmentation

📋 Description

• Design and implement multi-modal sensor fusion (Lidar, Camera, Radar) for 3D occupancy and segmentation.
• Develop vision-first fusion strategies to improve geometry and reduce dependency on sparse sensors.
• Engineer temporal processing modules to improve stability and consistency over time.
• Optimize model architectures for real-time on-vehicle inference with latency constraints.
• Collaborate with Tracking/Prediction/Planner to refine geometry outputs for complex maneuvers.

🎯 Requirements

• MS or PhD in CS/Robotics/ML with 6+ years of industry experience.
• Deep expertise in 3D computer vision and deep learning with voxel/BEV architectures.
• Strong Python and PyTorch skills; some C++ for model integration.
• Experience with multi-sensor fusion (Lidar, Camera, Radar) and temporal data.
• Experience with occupancy networks, implicit representations (NeRF/Gaussian Splats), or scene flow.
• Experience optimizing models for TensorRT/CUDA for low-latency inference.

🎁 Benefits

• Comprehensive benefits: PTO, health insurance, disability, and life insurance.