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# machine learning professional

- **Company:** Zoox
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** 3D Scanning, Python (Programming Language), Machine Learning, NeRF (Neural Radiance Fields), Tensorflow, Pytorch, Variational Autoencoders, Stable Diffusion
- **Published:** October 13, 2026
- **Apply:** https://startup.jobs/senior-staff-machine-learning-engineer-3d-sensor-simulation-zoox-10420589

## About the Role

* 2+ years of prior experience as a Technical Lead
 * 5+ years of experience developing ML models in Python with PyTorch or TensorFlow
 * Industry experience applying ML to sensor data (lidar, radar, and/or cameras)
 * Solid understanding of customizing, tuning, and validating ML training pipelines, Experience with generative techniques such as diffusion, flow matching, or VAEs

## Description

* 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.