Software Development Engineer - Machine Learning Prime Video Recommendations, Title Title Relevance

Published date Posted on Indeed on May 14, 2022 (13 d ago)
  • 4+ years of professional software development experience
  • 3+ years of programming experience with at least one software programming language
  • 2+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems
  • Experience as a mentor, tech lead OR leading an engineering team

  • Bachelor's Degree in Computer Science or related field
  • 5+ 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
  • 3+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
  • Experience with machine learning, rankers, model evaluations, and recommendations systems.

Job summary
Just finished Jack Ryan and want to find more action titles like that? Looking for a movie that's like The Tomorrow Wars? So are millions of our Prime Video customers. The Prime Video Title-Title Relevance team suggests videos that are relevant and related to content they know and love. We obsess over title and entity relationships to help customers browse our catalog with the context they need to find something great every time they log in.

We tailor these recommendations through a variety of machine learning and statistical 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 build scalable services that provide title recommendations at incredible scale and speed.

Key job responsibilities
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.

A day in the life
Some examples of the things we work on:
  • Work with AWS development technologies and tools to build new capabilities and services
  • 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.
  • We primarily use big data processing technology, EMR, and Sagemaker.
  • Machine learning engineers work with applied scientists to understand our models, partner with Applied Scientists to bring them to production, and build new features with them.
  • 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.

About the team
  • Team of engineers that works closely with the Applied Science team.
  • On call rotation to ensure our services are continuing to deliver our customers a good experience
  • While the entire team owns the full stack, we are a mixture of backend engineers to support on our online recommendation serving, and ML/Big Data Engineers that create and implement models, and analyze our data to suggest improvements or learn from experiments.

  • Meets/exceeds Amazon’s leadership principles requirements for this role
  • Meets/exceeds Amazon’s functional/technical depth and complexity for this role
  • Master’s degree or PhD in Computer Science or equivalent
  • Experience with Java
  • Experience with with scalable data processing platforms and tools like Spark, Hadoop, Sagemaker, EMR.
  • 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.

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