Applied Scientist - Computer Vision for Safer Workplaces

Amazon; Bellevue (WA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

RSUs

Job summary

Amazon's Workplace Health & Safety (WHS) is seeking an Applied Scientist to develop computer vision and machine learning models that keep Amazon’s workforce safe using video, images, and sensor data from global operations. You’ll design and train models for activity recognition, anomaly detection, and object detection, and collaborate with software engineers to deploy at scale.

PhD or Master’s + 4+ years in CS/CE/ML is expected, with experience building production-grade ML systems and a

Qualifications

• 3+ years of building models for business applications.
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
• Experience in patents or publications at top-tier peer-reviewed conferences or journals.
• Experience programming in Java, C++, Python or related language.
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Responsibilities

• Design, develop, and deploy computer vision and machine learning models for workplace safety applications (e.g., activity recognition, anomaly detection, pose estimation, object detection)
• Develop and iterate on model architectures using deep learning frameworks, running experiments on large-scale video, image, and sensor datasets
• Collaborate with software engineers to productionize models - optimizing for inference latency, accuracy, and reliability in edge and cloud environments
• Analyze operational data to identify patterns and signals indicating safety risks, and translate findings into actionable model improvements
• Stay current with the latest research in computer vision, deep learning, and related fields, and evaluate applicability to safety use cases
• Communicate findings and technical approaches clearly to both technical and non-technical stakeholders through documents, presentations, and design reviews
• Contribute to the team's scientific culture through code reviews, knowledge sharing, and mentorship

Skills

Experience building models for biz use

Research publications

Education

PhD

Master's + 4+ years CS/CE/ML

Tools

Java

C++

Python

Job description

Amazon's Workplace Health & Safety (WHS) is seeking an Applied Scientist to develop computer vision and machine learning models that keep Amazon’s workforce safe using video, images, and sensor data from global operations. You’ll design and train models for activity recognition, anomaly detection, and object detection, and collaborate with software engineers to deploy at scale.

PhD or Master’s + 4+ years in CS/CE/ML is expected, with experience building production-grade ML systems and a