Senior Machine Learning Engineer - Perception 3D Segmentation
Core
Architect and optimize high-performance deep learning models to generate dense, temporally consistent voxel representations of the driving environment using multi-modal sensor fusion.
Role type
Senior IC machine learning engineer (3D perception/segmentation)
Builds
Next-generation 3D occupancy and segmentation networks for autonomous vehicle navigation
Domain
Autonomous driving, 3D Computer Vision, Deep Learning
Deliverable
production ML models
Required skills
3D Computer Vision, Deep Learning, Voxel-based architectures, BEV architectures, Multi-modal sensor fusion, Temporal data processing, Occupancy networks, Implicit representations (NeRF/Gaussian Splats), Scene flow estimation
Preferred skills
TensorRT/CUDA optimization, Sparse convolutions, Query-based architectures, Vision Language Models, Multi-modal 3D foundation models, World Models, VLA
Technologies
Python, PyTorch, C++, Lidar, Camera, Radar
Responsibilities
Design and implement multi-modal sensor fusion architectures to predict 3D occupancy, semantic segmentation, and flow; Develop vision-first fusion strategies to enhance geometric understanding; Engineer temporal processing modules to improve prediction stability; Optimize model architectures for real-time on-vehicle inference; Collaborate with downstream consumers to refine geometric outputs.
Seniority
Senior, hands-on IC
