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
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.