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Applied Scientist, Prime Video - Generative AI (Video)

Amazon.com Inc

  • Sunnyvale, CA
  • 5 days ago
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    Skills

    • Appleunmatched
    • Artificial Intelligence (AI)unmatched
    • Business Modelunmatched
    • Communication Skillsunmatched
    • Computer Visionunmatched
    • Conferencesunmatched
    • Customer Relationsunmatched
    • Data Analysisunmatched
    • Data Collectionunmatched
    • Deep Learningunmatched
    • Digital Videounmatched
    • Documentariesunmatched
    • Filmunmatched
    • Graphicsunmatched
    • Localizationunmatched
    • Machine Learningunmatched
    • Marketingunmatched
    • Model Validationunmatched
    • Product Designunmatched
    • Production Systemsunmatched
    • Proof of Conceptunmatched
    • Publicationsunmatched
    • Rapid Prototypingunmatched
    • Reinforcement Learningunmatched
    • Rentalsunmatched
    • Risk Analysisunmatched
    • Software Engineeringunmatched
    • Sportsunmatched
    • Statisticsunmatched
    • Team Playerunmatched
    • Video Productionunmatched

    Description

    Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.

    Are you interested in shaping the future of entertainment? Prime Video"s technology teams are creating best-in-class digital video experience.

    As a Prime Video team member, you'll get to work on projects that are fast-paced, challenging, and varied. You'll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We'll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers.

    We are looking for an Applied Scientist to push the envelope of AI content generation. As a scientist at Prime Video, you will contribute directly to productions using innovative tools in computer vision, deep learning, and generative AI to transform entertainment experiences. The ideal candidate has deep knowledge in one of: graphics, deep learning, generative AI and/or reinforcement learning and experience applying them real-world problems. You understand tradeoffs between business needs and model complexity, and you take calculated risks in developing rapid prototypes and iterative model improvements. You are excited to learn from and alongside seasoned scientists, engineers, and business leaders. You are an excellent communicator and effectively translate technical findings into production systems and business action (and customer delight).

    Key job responsibilities

    • Build generative AI models that create production-ready content, including movie content, localized assets, and visual marketing materials used across Prime Video"s global platform.
    • Drive end-to-end machine learning projects that have a high degree of ambiguity, scale, complexity.
    • Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models.
    • Run experiments, gather data, and perform statistical analysis.
    • Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
    • Research new and innovative machine learning approaches.
    • Share knowledge and research outcomes via internal and external conferences and journal publications

    A day in the life

    In this role, you will invent science and systems for content localization, generation, including graphics and machine learning-based modeling systems. You will work with a team of scientists and product managers to design customer-facing products, and you will work with technology teams to productize and maintain the associated solutions.

    Numbers & Facts

    LocationSunnyvale, CA
    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

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