Software Development Engineer, Prime Video Customer Title Relevance

Just finished House of the Dragon and want to watch more of the same? Looking for a movie that's like Oppenheimer? So are millions of our Prime Video customers. The Prime Video Customer Title Relevance team suggests videos that are relevant and tailored to our customers schedules and environments. We help our customers find content they didnt even known they were looking for, continuing to surprise them with the depth of our catalog. Besides personalization, our team power promotions, business analytics and economical models that guide Amazon Studios.

Prime Video is building the future of TV for customers in over 200 countries to enjoy an endless selection of movies, shows and sports on their TV, mobile devices and desktop. Our team's mission is to show a customer the right video content, in the right place, at the right time. We tailor PV for a diverse and global audience, so customers world-wide with different tastes and backgrounds can find something to watch and enjoy on every visit.

Our teams are already leveraging Deep Neural Networks, Transformer models, LLMs. Not only will you be exposed to the cutting edge of machine learning research, you'll collaborate with a talented team of engineers and scientists to create services to run these predictions on distributed systems at incredible scale and speed. As a member of the Prime Video CTR team, you will spend your time as a hands-on engineer and a technical leader. You will play a key role in defining CX and building 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. At the end of the day, you will have the reward of seeing your contributions delight Prime Video customers worldwide.

Some examples of the things we work on are

1) Neural Networks and Deep Learning techniques to find titles that customers will enjoy

2) Build and operate services that deliver millions of recommendations per second

3) Extend models and algorithms to support our ever growing ways of consuming content (subscriptions, live, rentals etc),

4) Dealing with unique challenges such as observational bias and rapidly scaling dimensions

5) Constantly experimenting with changes to the underlying algorithms and models to deliver relevant content to a wide variety of customer experiences.

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
1. Understand product requirements, look for systematic and data challenges and defining requirements for model
2. Work with scientists to build models, run A/B testing, work with product to review CX and impact to business metrics.
3. Build and improve services that serve recommendations
4. building data processing pipelines, productionalize model
5. Continuously iterate on ML Infra
6. Build automation and debugging tooling for monitor and debug performance of personalization models.

About the team
We work closely with sister teams, Applied Scientists and Product Managers together in an experiment driven, agile development process. You'll get to collaborate with teammates on distributed software solutions and get the chance to learn about the machine learning domain.

- 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

- 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.

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 for more information. If the country/region youre applying in isnt 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 . This position will remain posted until filled. Applicants should apply via our internal or external career site.