Sr SDE - Amazon Video: Machine Learning and Distributed Systems
Seattle, Washington, USA
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...
Want to watch a movie at the end of a long week, but not sure what to choose? Looking for a new show while you wait for the next season of The Boys to start? So are millions of our Amazon Video customers., and we're just getting started on building a completely personalized experience.
If you are ready to 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.
A day in the life
You will work with scientists, product managers and other engineers to build personalized features on the Prime Video platform. You will guide other members of the team, perform code reviews and design reviews. You will work with principal and senior engineers from other teams and product managers to provide input on requirements, estimates and collaborate on features. You will also work with the team manager to develop the team roadmap and architectural direction of services.
About the hiring group
The Prime Video Personalization team owns the personalization of carousels on the Prime Video homepage. These are highly visible customer facing features, and initiatives that directly impact Prime Video customers on the platform. We use Machine Learning to analyze streaming data to infer and recommend content that is highly relevant, building a personalized experience for millions of Amazon Prime Video customers.
Job responsibilities
As a senior 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.
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.
· 4+ years of professional software development experience
· 3+ years of programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
· 2+ 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
· Meets/exceeds Amazon’s functional/technical depth and complexity for this role
· Master's Degree in Computer Science or related field.
· Product development experience in consumer-focused companies
· Experience with scalable data processing platforms and tools like Spark, Hadoop.
· Experience developing web services, or other large scale distributed systems that have been successfully delivered to customers
· A track record of innovating in Machine Learning algorithms and applications.
· Experience influencing software engineers best practices within your team
· Hands-on expertise in many disparate technologies, typically ranging from front-end user interfaces through to back-end systems and all points in between
· 5+ years of product development experience in consumer-focused companies
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.
If you are ready to 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.
A day in the life
You will work with scientists, product managers and other engineers to build personalized features on the Prime Video platform. You will guide other members of the team, perform code reviews and design reviews. You will work with principal and senior engineers from other teams and product managers to provide input on requirements, estimates and collaborate on features. You will also work with the team manager to develop the team roadmap and architectural direction of services.
About the hiring group
The Prime Video Personalization team owns the personalization of carousels on the Prime Video homepage. These are highly visible customer facing features, and initiatives that directly impact Prime Video customers on the platform. We use Machine Learning to analyze streaming data to infer and recommend content that is highly relevant, building a personalized experience for millions of Amazon Prime Video customers.
Job responsibilities
As a senior 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.
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.
Basic Qualifications
· 4+ years of professional software development experience
· 3+ years of programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
· 2+ 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
Preferred Qualifications
· 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 in Computer Science or related field.
· Product development experience in consumer-focused companies
· Experience with scalable data processing platforms and tools like Spark, Hadoop.
· Experience developing web services, or other large scale distributed systems that have been successfully delivered to customers
· A track record of innovating in Machine Learning algorithms and applications.
· Experience influencing software engineers best practices within your team
· Hands-on expertise in many disparate technologies, typically ranging from front-end user interfaces through to back-end systems and all points in between
· 5+ years of product development experience in consumer-focused companies
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.
Tags: Computer Science Distributed Systems Hadoop Machine Learning Recommender systems Spark Streaming
Region:
North America
Country:
United States
Job stats:
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Category:
Machine Learning Jobs
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