Machine Learning Engineer designing and deploying production - grade ML models for Adobe's Video APIs. Collaborating with research and product teams to implement innovative AI solutions.
About the role
- Machine Learning Engineer at Zoox creating advanced 3D segmentation models for autonomous vehicles. Joining a team at the forefront of robotics and AI for urban mobility solutions.
Responsibilities
- Contribute to the development of next-generation 3D occupancy and segmentation networks
- Architect and optimize high-performance deep learning models for dense, temporally consistent voxel representations
- Enable vehicle navigation in complex urban scenarios by providing precise geometry and motion estimates
Requirements
- MS or PhD in Computer Science, Robotics, Machine Learning, or related field with 6+ years of industry experience.
- Deep expertise in 3D Computer Vision and Deep Learning, specifically with voxel-based or BEV (Bird's Eye View) architectures.
- Strong proficiency in Python and deep learning frameworks (PyTorch) for model training and design as well as some experience in C++ for model integration.
- Experience with multi-sensor fusion (Lidar, Camera, Radar) and handling temporal data sequences.
- Experience with occupancy networks, implicit representations (NeRF/Gaussian Splats), or scene flow estimation.
Benefits
- paid time off (e.g. sick leave, vacation, bereavement)
- unpaid time off
- Zoox Stock Appreciation Rights
- Amazon RSUs
- health insurance
- long-term care insurance
- long-term and short-term disability insurance
- life insurance
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