Machine Learning Engineer - Perception Offline Driving Intelligence
Zoox(1 month ago)
About this role
This role is an AI/ML engineering position on Zoox's Offline Driving Intelligence (ODIN) team, focused on advancing the environmental understanding of their autonomous robotaxi platform. The engineer will work on multimodal large language models using rich sensor data and modern infrastructure to improve safety, reliability, and navigation in complex urban environments. The position sits within Zoox's broader effort to build a fully autonomous vehicle fleet and its supporting ecosystem. The work directly impacts the capabilities and real-world performance of Zoox's autonomous driving system.
Required Skills
- Multimodal LLMs
- Model Architecture Design
- Model Training
- Dataset Construction
- Sensor Data Integration
- ML Pipelines
- End To End ML
- Python Programming
- PyTorch
- NumPy
+5 more
Qualifications
- MS in Computer Science
- MS in Machine Learning
- MS in Related Technical Field
- PhD in Computer Science
- PhD in Machine Learning
- PhD in Related Technical Field
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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