DESCRIPTION

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.
Within Prime Video, the Search Engineering team is making a step change in the look, feel and quality of our Search experience. We are standing up a brand new Search Engine that need to handle 1B+ requests every month. We are innovating with leading-edge Machine Learning technologies like Large Language Models including Retrieval-Augmented Generation techniques, and developing net new Named Entity Recognition and Natural Language Understanding models.
If you are ready to truly make an impact on a product that is used by millions of people around the world, including your own friends and family, then we would love to talk to you.

Key job responsibilities

• Directly interfacing with product managers and other stake holders to build features that help new customer experience for Prime Video.
• Create end to end solutions and execute via software engineering design, development, and ultimately helping millions of Prime Video customers.
• We work with customer facing products that are highly visible and on initiatives that directly impact PV goals of increasing customer activity on the platform.
• We use Machine Learning to analyze the customer’s behavior to infer what they would be most likely to watch and recommend content that is highly relevant.

A day in the life
As a member of the team, you will spend your time as a hands-on engineer and a technical leader. You will play a key role in building software products and features from the ground up. You will use a wide range of technologies, programming languages and systems. Your responsibilities will include all aspects of software development. You will work with Data Scientists to build Personalization and Recommender systems. You will be given the freedom and inspiration to explore your own ideas and the reward of seeing your contributions benefit millions of Amazon.com customers worldwide.

About the team

• We are a team of engineers that focuses on solving customer problems with a diverse cultural mindset.
• We drive to create a team culture of leaders that are able to shine as individuals and as a team.

BASIC QUALIFICATIONS

• 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

PREFERRED QUALIFICATIONS

• 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 an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
  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 inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
  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

• Directly interfacing with product managers and other stake holders to build features that help new customer experience for Prime Video.
• Create end to end solutions and execute via software engineering design, development, and ultimately helping millions of Prime Video customers.
• We work with customer facing products that are highly visible and on initiatives that directly impact PV goals of increasing customer activity on the platform.
• We use Machine Learning to analyze the customer’s behavior to infer what they would be most likely to watch and recommend content that is highly relevant