We're looking for a Software Development Engineer to help build the AI and computer vision systems that keep Amazon's workforce safe. This is a chance to work at the intersection of advanced machine learning and real-world impact, writing code that helps reduce workplace injuries for over 1.5 million people.
You'll join a team of engineers and applied scientists developing computer vision applications, real-time inference systems, and cloud-native services that detect and prevent safety risks across Amazon's global operations. You'll design and build production software end-to-end, from ingesting and processing video and sensor data, to deploying ML models at the edge, to surfacing actionable insights through internal tools and APIs. If you're excited about building systems that combine deep learning, distributed computing, and IoT, and you want to see your code make a tangible difference in people's lives, this is the role for you.
Key job responsibilities
Design, develop, and maintain production services that power computer vision and AI-based safety applications, built on AWS
Build and optimize data ingestion pipelines for video, image, and sensor data from edge devices deployed across Amazon facilities
Develop APIs and backend services that integrate ML model outputs with internal safety tools and dashboards
Collaborate with applied scientists to productionize machine learning models - handling model serving, inference optimization, and deployment workflows
Write clean, well-tested, and maintainable code while contributing to code reviews, design documents, and architectural decisions
Operate and maintain services in production, including monitoring, alarming, troubleshooting, and incident response
Identify opportunities to improve system performance, scalability, and reliability as the platform scales to new sites and use cases
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 software engineers, applied scientists, 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 safety incidents. You'll work closely with applied scientists and ML engineers to take models from research to production, and collaborate with TPMs and product managers to deliver solutions that safety professionals rely on every day. Our culture values technical ownership, curiosity, and shipping systems that create measurable real-world impact.
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications
- Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2
- Knowledge of one or more ML Frameworks (e.g., PyTorch, TensorFlow) and ML methods including NLP models (BERT, GPT-2/3), computer vision-based models (object detection, image recognition), and text-based models (Seq2Seq, Topic modeling)
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 - 136,500.00 - 184,700.00 USD annually USA, VA, Arlington - 143,700.00 - 194,400.00 USD annually USA, WA, Bellevue - 143,700.00 - 194,400.00 USD annually