Senior / Staff Machine Learning Engineer - 3D Sensor Simulation
TECHNICAL STACK · 5 TAGS
OVERVIEW
The Zoox 3D Sensor Simulation team’s work is at the core of creating in-the-loop simulation and high fidelity synthetic data for training and testing autonomous vehicle AI. We are looking for a machine learning professional with experience applying ML to sensor data, such as LiDAR, radar, and cameras.
This role lies at the intersection of machine learning and 3D simulation at Zoox, ranging from learned sensor models to neural 3D reconstruction. By improving the realism of simulated sensors (lidar, radar, and cameras), you’ll enable the Zoox robotics autonomy stack to learn, improve, and enhance the mobility of humans.
IN THIS ROLE, YOU WILL
- Design, train, and validate ML models that improve the realism of simulated lidar, radar, and camera data in autonomous vehicle (AV) simulation pipelines.
- Collaborate with Synthetic Data and HIL Sim teams to integrate 3DGS and NeRF-based 3D reconstruction with simulation of all sensor modalities.
- Build and curate training datasets from real and simulated sensor data, including GenAI-based data augmentation.
- Partner with Sim V&V and Perception engineers to define sensor realism metrics and close the sim-to-real gaps with the greatest impact on autonomy.
- Mentor engineers and interns, and establish best practices for training and deploying ML on Zoox sensor data.
QUALIFICATIONS
- 2+ years of prior experience as a Technical Lead
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5+ years of experience developing ML models in Python with PyTorch or TensorFlow
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Industry experience applying ML to sensor data (lidar, radar, and/or cameras)
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Solid understanding of customizing, tuning, and validating ML training pipelines
BONUS QUALIFICATIONS
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Experience with generative techniques such as diffusion, flow matching, or VAEs
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Experience with 3D reconstruction (3DGS, NeRFs) or differentiable rendering
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Prior experience developing autonomy in AVs or other robotics and computer vision
REQUIREMENTS
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.
QUESTIONS AND ANSWERS
- How much does the Senior / Staff Machine Learning Engineer - 3D Sensor Simulation at Zoox pay?
- The posting lists a range of $242K–$348K per year. Ranges reflect what Zoox publicly declared on the source posting.
- Where is this Senior / Staff Machine Learning Engineer - 3D Sensor Simulation role based?
- The role is based in Foster City, CA.
- What experience does Zoox expect for this role?
- The posting is tagged as a lead-level role, typically 7+ 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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