Applied Scientist, WHS Data-Tech

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 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
• [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
• [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