Machine Learning Engineer - Vision Foundation Models

📋 Description

• Design, train, and evaluate vision models that understand passengers, objects, and behaviors inside
• Independently own a model or feature area end to end: curate data, define labeling guidelines
• Set the quality bar for the models you own, using rigorous evaluation and error analysis so they
• Deploy models under real-time and compute constraints shared with the rest of the onboard
• Partner across product, operations, safety, and vehicle software to turn requirements into model

🎯 Requirements

• MS or PhD in Computer Science, Machine Learning, Computer Vision, or a related field with 6+ years
• Deep expertise in computer vision and deep learning for image and video understanding: object
• Strong proficiency in Python and PyTorch for model design, training, and evaluation.
• Experience with vision-language models or foundation-model backbones, and with auto-labeling or
• Track record of owning the full ML lifecycle on real-world data: dataset curation and labeling

🎁 Benefits

• Paid time off (e.g. sick leave, vacation, bereavement)
• Unpaid time off
• Zoox Stock Appreciation Rights
• Amazon Restricted Stock Units (RSUs)
• Health insurance
• Long-term care insurance