Applied Scientist, WHS Data-Tech

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

Job summary

Amazon is seeking an Applied Scientist to develop computer vision and machine learning models that enhance workforce safety across Amazon's global operations. You will design, train, and deploy models for activity recognition, anomaly detection, pose estimation, and object detection using video, image, and sensor data from operational environments.

You will collaborate with software engineers to scale models from experimentation to production, optimizing for latency and accuracy while delivering

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.

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

Skills

Patents or publications in top-tier同行

Education

PhD

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

Tools

Java

C++

Python

Algorithms & data structures

Parallel & distributed computing

High-performance computing

Job description

Description 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.

You\'ll join a team where science meets real-world impact. You\'ll design and train models for tasks like activity recognition, anomaly detection, object detection, and risk prediction using video, image, and sensor data from Amazon\'s operational environments. You\'ll work closely with software engineers to take your models from experimentation through production deployment at scale. If you\'re excited about applying advanced ML research to a problem that genuinely improves people\'s lives, and you thrive in an environment where your work ships to production, not just to a paper, this is the role for you.

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\'s 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you\'re applying in isn\'t listed, please contact your Recruiting Partner.

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. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD\'D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, TN, Nashville - 136,000.00 - 184,000.00 USD annually

USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually

Company - Amazon.com Services LLC

Job ID: A10499043