Machine Learning Engineer, Zoox

• MS or PhD in Computer Science, Machine Learning, or related technical field
• Demonstrated experience training and deploying perception and computer vision based models
• Experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluationProficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projects
• Experience with model optimization techniques such as quantization, pruning, or knowledge distillation
• We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team

Desirable

• The Perception team at Zoox is fundamental to our autonomous vehicle technology, creating the understanding of the world for our self-driving robots
• We enable safe and efficient navigation in complex environments through sophisticated detection, classification, and tracking systems
• As an engineer in the Semantics and Foundation Model team, you will develop advanced multimodal large language models that enhance our vehicles' environmental understanding
• You'll develop and fine-tune these models for off-vehicle analysis while also optimizing them for real-time performance on 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 the safety and capability of Zoox's autonomous system
• Lead the development of multimodal large language models that enhance our robotaxis' understanding of complex urban environments
• Design and implement efficient model architectures, balancing performance and computational constraints through fine-tuning and distillation techniques
• 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, 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