Senior Software Developer working on ML Infrastructure and Deployment at Verafin. Helping develop cutting - edge fraud detection tools alongside analytics teams using AWS and Terraform.
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Hybrid Senior/Staff Machine Learning Engineer – Perception, Offline Driving Intelligence
Posted 3 weeks ago
About the role
- 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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