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Sr. Applied Scientist, Prime Video - Content Understanding, Localization & Enrichment Team Job Opening In New York – Now Hiring Amazon

Sr. Applied Scientist, Prime Video Content Understanding, Localization & Enrichment Team

    United States Jobs Expertini Expertini United States Jobs New York Other General Sr. Applied Scientist, Prime Video Content Understanding, Localization & Enrichment Team

Job description

Description
Prime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices.

U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required.

Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership.

More than 200 million Prime members in 25 countries around the world enjoy access to Amazon’s enormous selection, exceptional value, and fast delivery.

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 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.

We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers.

With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!

Key job responsibilities
This role is for an experienced Science leader.

The ideal candidate will apply state of art natural language processing and computer vision research to video centric digital media and will be responsible for creating a strong environment for applied science in order to recruit, retain and develop top talent.

The candidate will lead a team of applied scientist and lead the research direction, create roadmaps for forward-looking research and communicate them to senior leadership.

The person will hire and develop the applied scientist and grow the science team to meet the always increasing needs of our customers.
Basic Qualifications
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- 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 or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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 a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.

Amazon is a total compensation company.

Dependent 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.

For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits .

This position will remain posted until filled.

Applicants should apply via our internal or external career site.


Required Skill Profession

Other General


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