Engineer developing multimodal large language models for environmental understanding in Zoox’s autonomous vehicles. Collaborating with teams to enhance navigation capabilities and safety.
Responsibilities
Lead the development of multimodal large language models that enhance our robotaxis' understanding of complex urban environments
Design effective model architectures and sophisticated training techniques, leveraging all the inputs from our sensor stack and the overall large scale data we have at Zoox.
Drive end-to-end ML solutions from research to production, utilizing Zoox's extensive data pipelines and infrastructure to improve autonomous driving capabilities
Collaborate with perception, planning, safety, and systems teams to integrate your models into the vehicle's decision-making pipeline
Validate and optimize your solutions using real-world driving scenarios, directly contributing to the safety and reliability of Zoox's autonomous system
Requirements
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)
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