Job description
Overview 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 Prime membership, 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 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, and varied projects, experiment with new possibilities, take risks, and collaborate with remarkable people.
We’re looking for a self-motivated, passionate and resourceful Applied Scientist to bring diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers.
Responsibilities Develop AI solutions for various Prime Video Search systems using Deep Learning, GenAI, Reinforcement Learning, and optimization methods
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
Publish your research findings in top conferences and journals
About the Team Prime Video Search Science team owns science solutions to power the search experience on various devices, from sourcing and relevance to ranking.
We work closely with the engineering teams to launch our solutions in production.
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 compensation reflects the cost of labor across several US geographic markets.
The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market.
Pay is based on market location and may vary depending on job-related knowledge, skills, and experience.
Amazon is a total compensation company.
Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
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Job ID: A3060419
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