Senior Software Development Engineer, Personalization
Newark, New Jersey, USA
Amazon.com
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At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.
ABOUT THIS ROLE
As a Senior Software Development Engineer on the Personalization (P13N) team you will be responsible for designing and delivering a variety of high quality, customer-focused technical solutions leveraging Machine Learning and cutting-edge technology. You will work on difficult business and technology problems, defining requirements and scope for your projects. You will be able to learn best practices, optimize procedures and processes, and mitigate immediate risks. You will make effective trade-offs between time, quality, and resources to ensure successful delivery.
ABOUT THE TEAM
The Personalization team's mission is to help customers discover their next great listen by personalizing every interaction they have with Audible content. We develop scalable frameworks and systems that transform customer signals into meaningful insights, enabling personalized, contextual recommendations across our platforms. Our teams work with cutting-edge ML technologies and large-scale distributed systems to process billions of content interactions and deliver real-time personalized experiences.
As a Senior Software Development Engineer, you will...
- Define, design, implement, and deliver a variety of high-quality, customer-focused technical solutions for complex P13N problems
- Work cross-functionally to understand business and customer needs, define requirements, and determine the right technical approach
- Optimize existing processes and procedures to improve efficiency and reliability
- Proactively identify and mitigate risks, making appropriate trade-offs to ensure timely and successful delivery
- Mentor and share knowledge with more junior engineers on the team
- Participate actively in code/design reviews and provide constructive feedback
ABOUT AUDIBLE
Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.
- 5+ years of relevant experience as a software engineer, with a track record of delivering complex technical projects
- AWS skills and experience with building solutions with several managed and non-managed AWS resources
- Software engineering skills including data structures, algorithms, and software design patterns
- Proficient in one or more programming languages (e.g. Java, C++, Python)
- Experience working in an agile development environment and collaborating cross-functionally
- Bachelor's degree in Computer Science, Engineering, or a related technical field
- Strong communication and collaboration skills
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.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
ABOUT THIS ROLE
As a Senior Software Development Engineer on the Personalization (P13N) team you will be responsible for designing and delivering a variety of high quality, customer-focused technical solutions leveraging Machine Learning and cutting-edge technology. You will work on difficult business and technology problems, defining requirements and scope for your projects. You will be able to learn best practices, optimize procedures and processes, and mitigate immediate risks. You will make effective trade-offs between time, quality, and resources to ensure successful delivery.
ABOUT THE TEAM
The Personalization team's mission is to help customers discover their next great listen by personalizing every interaction they have with Audible content. We develop scalable frameworks and systems that transform customer signals into meaningful insights, enabling personalized, contextual recommendations across our platforms. Our teams work with cutting-edge ML technologies and large-scale distributed systems to process billions of content interactions and deliver real-time personalized experiences.
As a Senior Software Development Engineer, you will...
- Define, design, implement, and deliver a variety of high-quality, customer-focused technical solutions for complex P13N problems
- Work cross-functionally to understand business and customer needs, define requirements, and determine the right technical approach
- Optimize existing processes and procedures to improve efficiency and reliability
- Proactively identify and mitigate risks, making appropriate trade-offs to ensure timely and successful delivery
- Mentor and share knowledge with more junior engineers on the team
- Participate actively in code/design reviews and provide constructive feedback
ABOUT AUDIBLE
Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.
Basic Qualifications
- 5+ years of relevant experience as a software engineer, with a track record of delivering complex technical projects
- AWS skills and experience with building solutions with several managed and non-managed AWS resources
- Software engineering skills including data structures, algorithms, and software design patterns
- Proficient in one or more programming languages (e.g. Java, C++, Python)
- Experience working in an agile development environment and collaborating cross-functionally
- Bachelor's degree in Computer Science, Engineering, or a related technical field
Preferred Qualifications
- Excellent problem-solving, critical thinking, and analytical skills- Strong communication and collaboration skills
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.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: Agile AWS Computer Science Distributed Systems Engineering Java Machine Learning Python Spark
Region:
North America
Country:
United States
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