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Software Development Engineer, Personalization

External
Audible, Inc. logoAudible · Newark, NJ
Full-timeOn-site1d ago
Machine Learning
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About the role

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 technologies and large-scale distributed systems to process billions of content interactions and deliver real-time personalized experiences. As a 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 - Participate actively in code/design reviews and provide constructive feedback - Handle data classification, storage, and management in accordance with company policies - Apply computer science, engineering, and analysis principles to solve moderate-scale problems - Continuously enhance testability, operational excellence (OE), and documentation for owned software components 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.

Requirements

  • 1+ years of non-internship professional software development experience
  • Bachelor's degree or equivalent in Computer Science
  • 0-2 years of professional software development experience
  • Excellent verbal and written communication skills; Ability to effectively collaborate with teammates is critical to success.
  • Experience building complex software systems that have been successfully delivered to customers
  • Problem solving skills and willingness to accept new challenges, take ownership and be adaptable
  • Capable of using technology to solve straightforward problems
  • Can take a defined design, turn it into high quality code, and deliver it on schedule
  • Proficient in a broad range of data structures and algorithms, knowing when it is (and isn't) appropriate to use them
  • Experience with Computer Science fundamentals including data structures, algorithms, and problem solving
  • Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Additional Information

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 Software Development Engineer on the Personalization (P13N) team you will be responsible for 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.


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