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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.As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. 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.Why you’ll love it: You’ll be in unique position to leverage your deep technical expertise and data-driven insights to drive transformative growth for Prime Video's 3rd party partner ecosystem. This is a high-impact, high-visibility role where you will work directly with Senior Engineering, Product, and Science leaders to create impactful products using the latest advancements in the space. You will be responsible for inventing AI solutions using the right frameworks and technologies, while keeping the overall architecture simple, maintainable, and highly resilient. You'll be part of a fast-paced, collaborative team dedicated to empowering our global 3rd party partners with best-in-class marketing, merchandising, promotional, and analytical tools to optimize their content and monetization strategies on Prime Video.Key job responsibilities
You will be responsible for:- Creating AI and machine learning solutions to drive growth and optimization for Prime Video's 3rd party partner ecosystem- Leveraging strong problem-solving skills and excellent judgment to make data-driven trade-offs that balance partner needs, technical feasibility, and long-term maintainability
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience applying theoretical models in an applied environment
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