🕒 yesterday
Lead the development and deployment of production-grade machine learning systems, shaping architecture and engineering standards while advising clients and mentoring engineers.
Senior / Staff Machine Learning Engineer - 3D Sensor Simulation
🕒 11 days ago
Machine LearningPythonPytorchTensorflow
📜 Description
- Design, train, and validate ML models to improve simulated lidar, radar, and camera realism.
- Integrate 3DGS and NeRF-based reconstruction with simulation across sensor modalities.
- Build and curate training datasets from real and simulated sensor data, including GenAI-based augmentation.
- Partner with simulation verification and validation and perception engineers to define realism metrics and address high-impact sim-to-real gaps.
- Mentor engineers and interns and establish best practices for training and deploying ML on sensor data.
🛠️ Requirements
- 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
- Experience with 3D reconstruction (3DGS, NeRFs) or differentiable rendering
- Prior experience developing autonomy in AVs or other robotics and computer vision
Full job description
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:
Qualifications:
- 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
Bonus Qualifications:
Experience with generative techniques such as diffusion, flow matching, or VAEs
Experience with 3D reconstruction (3DGS, NeRFs) or differentiable rendering
Prior experience developing autonomy in AVs or other robotics and computer vision
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