Senior Machine Learning Engineer - Perception 3D Segmentation
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Design and implement state-of-the-art multi-modal sensor fusion architectures (Lidar, Camera, Radar) to predict 3D occupancy, semantic segmentation, and flow .
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Develop "vision-first" fusion strategies to enhance geometric understanding and reduce dependency on sparse sensor modalities .
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Engineer temporal processing modules to improve the stability and consistency of predictions over time.
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Optimize model architectures for real-time on-vehicle inference, balancing high-fidelity range extension with strict latency constraints .
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Collaborate with downstream consumers (Tracking, Prediction, Planner) to refine geometric outputs, such as contours and free-space estimations, for complex maneuvering.
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MS or PhD in Computer Science, Robotics, Machine Learning, or related field with 6+ years of industry experience.
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Deep expertise in 3D Computer Vision and Deep Learning, specifically with voxel-based or BEV (Bird's Eye View) architectures.
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Strong proficiency in Python and deep learning frameworks (PyTorch) for model training and design as well as some experience in C++ for model integration.
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Experience with multi-sensor fusion (Lidar, Camera, Radar) and handling temporal data sequences.
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Experience with occupancy networks, implicit representations (NeRF/Gaussian Splats), or scene flow estimation.
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Experience optimizing models for TensorRT/CUDA to achieve low-latency inference.
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Familiarity with sparse convolutions or query-based architectures for efficient 3D processing.
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Experience with Vision Language Model, or multi-modal 3D foundation model, or World Model, or VLA.
A Final Note
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
- How much does the Senior Machine Learning Engineer - Perception 3D Segmentation at Zoox pay?
- The posting lists a range of $242K–$290K per year. Ranges reflect what Zoox publicly declared on the source posting.
- Where is this Senior Machine Learning Engineer - Perception 3D Segmentation role based?
- The role is based in Foster City, CA.
- What experience does Zoox expect for this role?
- The posting is tagged as a senior-level role, typically 5+ years of experience. Check the requirements section for specifics.
- Where is Zoox headquartered?
- Zoox is headquartered in Foster City, USA.
- How was this posting sourced?
- This role was pulled directly from Zoox's Lever careers site. Apply links open in the employer's own ATS — no reposts or aggregator middleware.
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