Senior/Staff Machine Learning Engineer - Perception Offline Driving Intelligence
Zoox(1 month ago)
About this role
This role is an applied machine learning position on Zoox’s Offline Driving Intelligence (ODIN) team, focused on developing multimodal large language models to improve autonomous driving. The engineer will build and refine models offline, then work with onboard teams to deploy them into Zoox’s robotaxi platform. The position emphasizes turning rich sensor data into better environmental understanding, hazard detection, and interpretation of driving restrictions. It directly contributes to the safety, reliability, and overall capability of Zoox’s fully autonomous vehicle fleet.
Required Skills
- Multimodal LLMs
- Model Architecture Design
- ML Training Pipelines
- Data Preprocessing
- Model Evaluation
- Python Programming
- PyTorch
- NumPy
- Large Scale Training
- Sensor Data Integration
+5 more
Qualifications
- MS in Computer Science
- MS in Machine Learning
- PhD in Computer Science
- PhD in Machine Learning
About Zoox
zoox.comZoox designs and builds purpose‑built, bidirectional electric robotaxis and the full autonomy stack — hardware, sensors, and software — to enable on‑demand, driverless ride‑hailing. The company takes a safety‑first, rider‑focused approach, engineering vehicles from the ground up for urban, zero‑emission mobility rather than adapting passenger cars. Acquired by Amazon in 2020, Zoox is working to commercialize a complete autonomous mobility service that rethinks ride‑hailing for riders instead of drivers.
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