Applied Scientist, WHS Data-Tech
Bellevue, WA - USA
Job Summary
Youll join a team where science meets real-world impact. Youll design and train models for tasks like activity recognition anomaly detection object detection and risk prediction using video image and sensor data from Amazons operational environments. Youll work closely with software engineers to take your models from experimentation through production deployment at scale. If youre excited about applying advanced ML research to a problem that genuinely improves peoples 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 teams scientific culture through code reviews knowledge sharing and mentorship
About the team
Amazons 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 Amazons safety strategy at scale.
Were 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 youll 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.
- 3 years of building models for business application experience
- PhD or Masters 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
- 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 one of the following areas: machine learning technologies Reinforcement Learning Deep Learning Computer Vision Natural Language Processing (NLP) or related applications
- PhD or a PhD or equivalent research experience and experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience with video and image processing and compression algorithms and standards computer vision and/or machine learning
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 for more information. If the country/region youre applying in isnt 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 TN Nashville - 136000.00 - 184000.00 USD annually
USA VA Arlington - 142800.00 - 193200.00 USD annually
USA WA Bellevue - 142800.00 - 193200.00 USD annually
Required Experience:
IC
About Company
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