HomeData Science JobsAmazon.com Services LLC | Hiring | Machine Learning Engineer - IMDb TV...

Amazon.com Services LLC | Hiring | Machine Learning Engineer – IMDb TV Personalization, IMDb TV Personalization | BigDataKB.com | 08-04-22

Job Location: Seattle, WA

  • 1+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems.
  • 2+ years of non-internship professional software development experience
  • Programming experience with at least one software programming language.
  • Bachelor’s Degree in Computer Science or related field or equivalent relevant experience

Job summary
The IMDb TV team is shaping the future of digital video entertainment. Our mission is to build earth’s most customer centric ad supported premium free video service and make it trivially easy for hundreds of millions of customers to enjoy. We have learned that customer’s love IMDb TV so we are looking for a software engineer who can build on our early success, pioneer new programs for customers, and help define our future.
As a machine learning engineer on the Personalization team, you will be integral in building our machine learning pipeline to put the best content in front of our customers for them to watch. We work with the latest AWS technologies to crunch big data problems. As an engineer on the team, you will design, develop, and deploy distributed ML systems which are reliable, scalable and fast. You will be joining a highly talented team of Engineers and Applied Scientists working on solving interesting and complex problems in a fun and collaborative environment. This role will provide exposure to cutting-edge ML innovations in recommendations, deep learning and statistics.

  • At least 3 years of industry experience building production web-scale systems that support Machine Learning models.
  • Expertise with Python a strong plus.
  • Worked with Pytorch, TensorFlow or similar.
  • Hands on experience with Spark or similar distributed framework.
  • Expertise in working with big data sets and ETL.
  • Strong understanding of Machine Learning concepts.
  • 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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