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Applied Scientist, WHS Data-Tech

Amazon.com Inc
  • Bellevue, WA
    1 day ago

    Job 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 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.

    Numbers & Facts

    LocationBellevue, WA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    About Company

    At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

    Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

    It’s Always Day 1
    At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

    Our Leadership Principles
    Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

    Skills

    • Artificial Intelligence (AI)unmatched
    • Cloud Computingunmatched
    • Code Reviewsunmatched
    • Communication Skillsunmatched
    • Computer Scienceunmatched
    • Computer Visionunmatched
    • Cross-Functionalunmatched
    • Data Analysisunmatched
    • Data Setsunmatched
    • Deep Learningunmatched
    • Internet of Thingsunmatched
    • Machine Learningunmatched
    • Mentoringunmatched
    • Operational Auditunmatched
    • Power Engineeringunmatched
    • Project/Program Managementunmatched
    • Retail Operationsunmatched
    • Riskunmatched
    • Safety/Work Safetyunmatched
    • Software Engineeringunmatched
    • Technical Leadershipunmatched
    • Technical Writingunmatched
    • Use Casesunmatched

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