Applied Scientist, WHS Data-Tech

About the role

We're looking for an Applied Scientist to develop computer vision and machine learning models that keep Amazon's workforce safe. Your research and models will be deployed across hundreds of operations facilities globally, helping to reduce safety incidents for over 1.5 million people.

Key job 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

About the team

Amazon's Workplace Health & Safety (WHS) organization is responsible for keeping over 1.5 million employees safe across our global retail operations. Within WHS, our technology team builds the science and engineering capabilities that power Amazon's safety strategy at scale. We're a cross-functional group of applied scientists, software engineers, data engineers, and technical program managers developing computer vision systems, generative AI applications, sensor and IoT solutions, and analytics platforms - all aimed at reducing workplace injuries. As an applied scientist here, you'll partner directly with engineers who build the production infrastructure for your models, and with safety domain experts who ground your work in real operational needs. Our culture values scientific rigor, fast iteration, and shipping models that create measurable safety outcomes.

Basic Qualifications

• 3+ years of building models for business application experience
• 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

Preferred Qualifications

• Experience using Unix/Linux
• Experience in professional software development
• Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience in development or technical support
• Experience with video and image processing and compression algorithms and standards, computer vision and/or machine learning
• PhD, or a PhD or equivalent research experience and experience in patents or publications at top-tier peer-reviewed conferences or journals

Pay

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.

• USA, TN, Nashville - 136,000.00 - 184,000.00 USD annually
• USA, VA, Arlington - 142,800.00 - 193,200.00 USD annually
• USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually