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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and validating machine learning models for sensor data in autonomous vehicles, with a strong focus on 3D reconstruction and generative techniques. Proven ability to mentor teams and establish best practices for machine learning deployment.
Highest-signal resume keywords
Machine Learning Model DevelopmentPython ProgrammingPyTorch or TensorFlow3D Reconstruction TechniquesSensor Data Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine Learning3D ReconstructionGenerative TechniquesModel ValidationData Augmentation
Soft Skills
MentoringCollaboration
Tools & Technologies
LidarRadarCamera Data3DGSNeRF
Industry Keywords
Autonomous VehiclesComputer VisionSimulation PipelinesSensor Realism MetricsSim-to-Real Gaps
Tech Stack
Tools & technologiesPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Design, train, and validate ML models that improve the realism of simulated lidar, radar, and camera data in autonomous vehicle 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 sim-to-real gaps affecting autonomy
- Mentor engineers and interns
- Establish best practices for training and deploying ML on Zoox sensor data
Requirements
What you’ll need- 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, including 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
- Experience with 3D reconstruction, including 3DGS, NeRFs, or differentiable rendering
- Prior experience developing autonomy in AVs or other robotics and computer vision
Benefits
Comp & perks- Paid time off, including sick leave, vacation, and bereavement
- Unpaid time off
- Zoox Stock Appreciation Rights
- Amazon Restricted Stock Units (RSUs)
- Health insurance
- Long-term care insurance
- Long-term and short-term disability insurance
- Life insurance
- Sign-on bonus may be offered