Applied Scientist, Amazon Transportation Services
Core
Develop, train, and productionize computer vision models to automate operational decisions for Amazon's Middle Mile transportation network, focusing on asset condition, inspection, and object detection.
Role type
Senior Applied Scientist (Computer Vision)
Builds
Automated visual understanding systems for transportation assets and operations
Domain
Logistics & Transportation / Computer Vision
Deliverable
production ML models
Required skills
Computer Vision, Deep Learning, Model Training, Fine-tuning, Self-supervised Learning, Semi-supervised Learning, Java, C++, Python, Software Development
Preferred skills
Top-tier conference publications, Experimental Design, Statistical Analysis, Transportation/Supply Chain domain expertise
Technologies
Foundation models, Deep learning frameworks
Responsibilities
Develop visual perception algorithms (recognition, detection, segmentation, tracking), own large-scale model training pipelines, design evaluation frameworks with business cost tradeoffs, partner with engineering to deploy models to production, frame ambiguous operational problems from first principles
Seniority
Senior, hands-on IC
