Machine Learning Engineer developing and optimizing AI systems at Strava. Work includes building innovative models that enhance fitness experiences for millions of users.
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Hybrid Machine Learning Engineer – Perception, Offline Driving Intelligence
Posted 3 months ago
About the role
- Machine Learning Engineer at Zoox developing multimodal large language models to enhance robotaxi capabilities. Collaborating with cross-functional teams to improve navigation and safety in urban environments.
Responsibilities
- Develop multimodal large language models that enhance our robotaxis' understanding of complex urban environments
- Implement model architectures and sophisticated training techniques
- Build large high quality datasets 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 models with large scale data.
Benefits
- Paid time off (e.g. sick leave, vacation, bereavement)
- Unpaid time off
- Zoox Stock Appreciation Rights
- Amazon RSUs
- Health insurance
- Long-term care insurance
- Long-term and short-term disability insurance
- Life insurance
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