Software Development Engineer, Amazon Prime Video, Draper+

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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.
Seeking SDEs with passion to build scalable backend services that use Computer Vision and Machine Learning models to enhance content discovery on Prime Video.

Prime Video is Amazon’s online video entertainment destination, and our mission is to entertain and delight our customers in over 200 countries with an infinite selection of movies, shows and sports on their TV, mobile devices, and desktop. We always start with our customer experience in mind and work backwards to find the right solution. Amazon continues to expand our portfolio, from award winning Originals to a wide selection of channels like HBO.

The Global Consumer Engagement team within Amazon Prime Video builds product and technology solutions that drive customer activation and engagement across all our supported devices and global footprint. We obsess over finding effective, programmatic and scalable ways to reach customers via a broad portfolio of both in-app and out-of-app experiences. We are continuously expanding the Prime Video content library but are not keeping up with making it easier for customers to discover and make faster/more confident streaming decisions.

Ever wondered how we can make discovering video to watch intuitive? How do we solve the content discovery problem for users while the selection of titles in catalog keep expanding?
If these problems excite you and you are willing to help us achieve our goals at scale by understanding videos deeply using Computer Vision, Audio Processing, NLP and similar machine learning techniques then this is the team where you can make it all happen. There are plenty of opportunities for bottom up proposals and innovation and no limit to what you can enable for our customers and achieve for yourself.

Come be a part of this exciting journey to make Prime Video the first choice for viewers across the globe.