Software Development Engineer - Machine Learning Prime Video Recommendations

Seattle, Washington, USA

Full Time
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Posted 1 month ago

Just finished The Boys and want to watch more of the same? Looking for a movie that's like The Big Sick? So are millions of our Prime Video customers. The Prime Video Relevance team suggests videos that are relevant and tailored to our customers’ schedules and environments. We help our customers find content they didn’t even known they were looking for, continuing to surprise them with the depth of our catalog. Our models are used to show customers what other customers watched after completing the title, and to help them find something they might be interested in watching.

We tailor these recommendations through a variety of machine learning and heuristic based algorithms that you can help shape. 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 models to run these predictions and services to provide the results at incredible scale and speed.

As a member of the Prime Video team, you will spend your time as a hands-on engineer and a technical leader. You will play a key role on the team, building and guiding 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. At the end of the day, you will have the reward of seeing your contributions benefit millions of Amazon.com customers worldwide.

Some examples of the things we work on:
· Using Neural Networks, Deep Learning, and clustering techniques to find titles that customers will enjoy
· Build and operate services that deliver millions of recommendations per second
· Extend models and algorithms to support our ever growing ways of consuming content (subscriptions, live, rentals etc), dealing with unique challenges such as observational bias and rapidly scaling dimensions
· 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.

Basic Qualifications


· 2+ years of non-internship professional software development experience
· Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
· 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
· Bachelor's Degree in Computer Science or related field
· 2+ years of non-internship professional software development experience
· Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
· 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems

Preferred Qualifications

· Meets/exceeds Amazon’s leadership principles requirements for this role
· Meets/exceeds Amazon’s functional/technical depth and complexity for this roleMaster’s degree or PhD in Computer Science or equivalent
· Experience with Java
· Experience with with scalable data processing platforms and tools like Spark and Hadoop.
· Excellence in technical communications with both technical and non-technical peers
· Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
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.

Job tags: Deep Learning Engineering Hadoop Java Machine Learning Research Spark