Senior Machine Learning Engineer (Perception 3D Segmentation)

Join Zoox, a cutting-edge robotics company, as a Senior Machine Learning Engineer specializing in 3D segmentation. In this role, you will contribute to the development of next-generation 3D occupancy and segmentation networks, optimizing high-performance deep learning models for real-time inference. You will collaborate with downstream teams to refine geometric outputs for complex maneuvering. Enjoy a range of benefits, including paid parental leave, health insurance, and a vibrant work culture.

• Contribuer au développement de réseaux d'occupation et de segmentation 3D de nouvelle génération.
• Architecturer et optimiser des modèles d'apprentissage profond haute performance pour générer des représentations voxel denses.
• Concevoir et mettre en œuvre des architectures de fusion de capteurs multi-modales de pointe pour prédire l'occupation 3D.
• Deep expertise in 3D Computer Vision and Deep Learning, specifically with voxel-based or BEV (Bird's Eye View) architectures
• Experience with occupancy networks, implicit representations (NeRF/Gaussian Splats), or scene flow estimation
• Experience with multi-sensor fusion (Lidar, Camera, Radar) and handling temporal data sequences
• MS or PhD in Computer Science, Robotics, Machine Learning, or related field with 6+ years of industry experience
• Strong proficiency in Python and deep learning frameworks (PyTorch) for model training and design as well as some experience in C++ for model integration
• You do not need to match every listed expectation to apply for this position
• Experience optimizing models for TensorRT/CUDA to achieve low-latency inference
• Familiarity with sparse convolutions or query-based architectures for efficient 3D processing
• Experience with Vision Language Model, or multi-modal 3D foundation model, or World Model, or VLA