Applied Scientist, Prime Video

Amazon Amazon · Big Tech · Seattle, WA · Applied Science

Applied Scientist role at Amazon Prime Video focusing on leveraging NLP and Computer Vision research to enhance video content understanding, accessibility, and customer experience. The role involves leading research direction, building models for business applications, and potentially developing and implementing deep learning algorithms. The primary output is a customer-facing AI product, with secondary work in model tuning and alignment.

What you'd actually do

  1. 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.
  2. 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.
  3. You will also hire and develop applied scientists - growing the team to meet the evolving needs of our customers.
  4. 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.
  5. We create and publish content on-time that's meaningful, accurate, and accessible to every customer globally.

Skills

Required

  • 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

Nice to have

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

What the JD emphasized

  • building models for business application experience
  • developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
  • publications at top-tier peer-reviewed conferences or journals

Other signals

  • end-to-end ownership of the product, user experience, design, and technology
  • apply state of the art natural language processing and computer vision research to video centric digital media
  • creating the roadmaps for forward-looking research
  • deeply understand all content and empower all customers with relevant language options, innovative accessibility assists, and rich title-information