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Applied Science Manager, Prime Video

Job ID: 2595377 | Amazon.com Services LLC

DESCRIPTION

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.

About the team
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.

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

BASIC QUALIFICATIONS

- 4+ years of applied research experience
- 3+ years of scientists or machine learning engineers management experience
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Experience programming in Java, C++, Python or related language

PREFERRED QUALIFICATIONS

- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $147,100/year in our lowest geographic market up to $286,000/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.