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Prime Video & Amazon MGM Studios

Sr. Applied Scientist, Prime Video and Studios

Prime Video & Amazon MGM Studios, Seattle, Washington, us, 98127

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Overview

Sr. Applied Scientist, Prime Video and Studios. 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 content. All customers can rent or buy titles via the Prime Video Store, and can enjoy content with ads when applicable. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experiences. 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 work on fast-paced, challenging projects, and will have opportunities to experiment, take risks, and collaborate with remarkable people. We value diverse perspectives and skills to make Prime Video even better for our customers. Responsibilities

Develop AI solutions for Prime Video Personalization Work closely with engineers and product managers to design, implement, and launch AI solutions end-to-end Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses Effectively communicate technical and non-technical ideas with teammates and stakeholders Stay up-to-date with advancements and the latest modeling techniques in the field Basic Qualifications

PhD, or Master’s degree and 6+ years of applied research experience 5+ years of building machine learning models for business applications Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Preferred Qualifications

Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, TensorFlow, NumPy, SciPy, etc. Experience with large-scale distributed systems such as Hadoop, Spark, etc. 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, please visit the Amazon accommodations page for more information. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year to $260,000/year, depending on location, knowledge, skills, and experience. Amazon is a total compensation company. Depending on the position offered, equity, sign-on payments, and other benefits may be provided as part of a total compensation package. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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