$254K – $366K/yr
● Strong current hiring demand for this role
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Pay vs market · Top quarter
This job's pay ($295,000 a year at the midpoint) is higher than about 85% of 270 salary-listed Machine Learning Engineer jobs in United States in the last 12 months; their median is $225,450.
Role 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.
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
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Role market pulse
Live jobs
362
Posted 30d
259
30d movement
+388.7%
Remote share
30.9%
Salary listed
85.6%
Salary trend 1Y
Not enough history
What they are looking for
Qualification
5+ years of experience developing ML models in Python with PyTorch or TensorFlow
Department · Software
Hiring company
Zoox is a purpose-built autonomous vehicle designed for riders, not drivers. Learn more about the Zoox robotaxi and the future of ride-hailing.
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