Applied Scientist, Prime Video - Content Localization, Understanding & Enrichment at Amazon Science | Seattle, WA | $143K/yr – $193K/yr

Amazon Science

Applied Scientist, Prime Video - Content Localization, Understanding & Enrichment

Seattle, WA (On-site)

$143K/yr – $193K/yrSenior LevelFull time

Posted 2 months ago

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Job Summary

Own the research direction for video centered NLP and computer vision, build and lead the applied-science team, and drive a content understanding agenda that delivers language options, accessibility aids, and rich title data for Prime Video.

Research roadmap ownership and clear communication to senior leadership.
Hire and develop scientists to meet evolving customer needs.
Deep understanding of content to enable language options and accessibility across all content experiences.

Job Description

Responsibilities

As a highly experienced and seasoned science leader, you will apply state of the art natural language processing and computer vision research to video centric digital media, while also responsible for creating and maintaining the best environment for applied science in order to recruit, retain and develop top talent.
You will lead the research direction for a team of deeply talented applied scientists, creating the roadmaps for forward-looking research and communicate them effectively to senior leadership.
You will also hire and develop applied scientists - growing the team to meet the evolving needs of our customers.
This team's mission is to deeply understand all content and empower all customers with relevant language options, innovative accessibility assists, and rich title-information across all their content-experiences on Prime Video.
We create and publish content on-time that's meaningful, accurate, and accessible to every customer globally. We delight our customers by pushing the boundaries of content understanding and enrichment.

Requirements

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 developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms

Preferred

Experience using Unix/Linux
Experience in professional software development
Have publications at top-tier peer-reviewed conferences or journals

Benefits

comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
paid time off
parential leave

Amazon Science

Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work. Follow us on LinkedIn and visit our website to get a deep dive on innovation at Amazon, and explore the many ways you can engage with our scientific community. #AmazonScience

Founded in 2020

Seattle, Washington, USA

4 employees

www.amazon.science