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!
Our Prime Video Content Understanding team builds holistic media representations (e.g. descriptions of scenes, semantic embeddings) and apply them to new customer experiences supply chain problems. Our technology spans the entire Prime Video catalogue globally, and we enable instant recaps, skip intro timing, ad placement, search, and content moderation.
As a Sr. Applied Scientist in our Content Understanding Team, you will lead the end-to-end research and deployment of multi-modal models applied to a variety of downstream applications.
We are seeking a science leader with deep knowledge of multi-modal content understanding, including Vision Language Models (VLMs) and Multi-Modal Language Models (MMLMs). The Sr. AS will establish scientific research directions, best practices and frameworks to be leveraged across multiple teams. You will help drive the alignment of Engineering roadmaps to support scientific capabilities, and you will be a voice of future technology for our Product partners.
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!
For examples of our work, please see a selection of our publications from ECCV, ICCV and ICLR:
• https://www.amazon.science/publications/diffsign-ai-assisted-generation-of-customizable-sign-language-videos-with-enhanced-realism
• https://www.amazon.science/publications/text-guided-video-masked-autoencoder
• https://www.amazon.science/publications/look-globally-and-locally-inter-intra-contrastive-learning-from-unlabeled-videos
Key job responsibilities
As a Sr. Applied Scientist, your day-to-day responsibilities will include:
Defining vision & technical strategy: You will collaborate with other leaders in Prime Video to define the problem we will solve long-term to serve customers. You will formulate our science and engineering strategy for achieving this vision.
Execution: You will be at the forefront in bring the strategy to life. You will directly deliver key components of our science and research roadmap. You will act as a force-multiplier for other scientists in the team.
Developing Others: You will mentor and coach junior scientists in the team. You will drive scientific and technical best practices for others and elevate the quality of the output produced by the entire team.
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 around the world enjoy access to Amazon’s enormous selection, exceptional value, and fast delivery.
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 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 $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.