Senior/Staff Machine Learning Engineer - Perception Offline Driving Intelligence

zoox
Foster City, CA
On-site
Full-time
USD 242000-333000 per-year-salary
Posted 9 months ago
Software

Job Description

The Offline Driving Intelligence (ODIN) team at Zoox is leveraging the latest in AI to craft algorithms that understand the world. We leverage large models first offline and we devise a path of impact into our self-driving robot, enabling safe and efficient navigation in complex environments.

As an engineer in the ODIN team, you will develop advanced multimodal large language models that enhance environmental understanding. You'll develop and fine-tune these models for off-vehicle analysis while working with the onboard team to deliver impact in our robotaxi platform, ensuring they can efficiently identify hazards and interpret driving restrictions with minimal latency. Working alongside world-class engineers and researchers, you'll leverage premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions, directly impacting productivity, safety and the capability of Zoox's autonomous system.

Qualifications:

  • MS or PhD in Computer Science, Machine Learning, or related technical field
  • Demonstrated experience training and deploying large language models (LLMs)
  • Experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluation
  • Proficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projects
  • Experience training with large scale datasets (e.g. tens of millions of videos)

Bonus Qualifications:

  • Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA)
  • Experience with autonomous robotics systems

Requirements

Qualifications:

  • MS or PhD in Computer Science, Machine Learning, or related technical field
  • Demonstrated experience training and deploying large language models (LLMs)
  • Experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluation
  • Proficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projects
  • Experience training with large scale datasets (e.g. tens of millions of videos)

Bonus Qualifications:

  • Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA)
  • Experience with autonomous robotics systems

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