Software Development Engineer, Music Technology, Sequencing Experiences and Voice Recommendations
Amazon.com
Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Learn more at https://www.amazon.com/music.
Do you want to shape the future of music discovery? Join the Amazon Music team and revolutionize how millions of customers listen to music by building innovative voice experiences.
As a Software Engineer on our team, you'll be at the forefront of innovating personalized music experiences for millions of listeners worldwide. You will take ownership of key features from conception to launch, working with a team of experts in machine learning and personalization to build scalable and robust systems.
- Innovate with Machine Learning: Design and implement voice-powered features that redefine how customers interact with Amazon Music, focusing on personalized recommendations and seamless track sequencing.
- Drive End-to-End Ownership: Take a feature from idea to launch, collaborating with applied scientists, product managers, and other engineers to see your work directly enhance customer engagement.
- Join a Strategic Growth Area: Be part of a team leading Amazon Music's strategic focus on voice and personalization, a rapidly evolving and high-impact space.
- Minimize Operational Burden: Build robust and scalable systems that reduce operational load, allowing you to focus on developing new features and algorithms.
- Pioneer Music Discovery: Design and implement content selection and ranking algorithms that leverage machine learning to power intelligent voice recommendations across all of Amazon Music's listening tiers.
Key job responsibilities
Here are the key responsibilities for a Software Development Engineer II in this role:
- Innovate and Develop Voice Features: Drive the development of new, voice-powered features. You will build solutions that revolutionize how customers interact with Amazon Music, focusing on personalized recommendations and seamless track sequencing.
- Design and Implement Algorithms: You will design and implement the content selection and ranking algorithms that power intelligent voice recommendations. This includes leveraging machine learning models to deliver highly personalized music experiences across all of Amazon Music's service tiers (Unlimited, Prime, and Free).
- Integrate and Collaborate: Work closely with a team of engineers and applied scientists to integrate new sequencing algorithms and models into various voice and visual customer experiences, such as AutoPlay and Stations.
- Build Scalable Solutions: Develop and deploy robust, highly scalable voice-based solutions. Your work will ensure low latency and high availability for millions of users while prioritizing advanced customer understanding and conversational abilities.
- Own the Full Lifecycle: Partner with product managers to brainstorm, experiment, and launch innovative voice experiences. You'll take ownership of features from the initial concept through to launch, seeing your work directly impact customer engagement.
About the team
The Sequencing and Voice Recommendations Team is at the forefront of revolutionizing how customers experience music through voice. We are a dynamic and innovative group of engineers and applied scientists dedicated to leveraging Generative AI and machine learning to create deeply personalized and engaging music experiences across all Amazon Music platforms. Our mission is to transform voice interaction into a seamless and intuitive gateway to music discovery and enjoyment. We focus on developing advanced algorithms for personalized recommendations, intelligent track sequencing, and robust voice-powered content delivery. We collaborate closely with product managers to ideate, experiment, and launch voice experiences that redefine how millions of users interact with music. Join us as we pioneer the next generation of personalized music discovery and enjoyment.
Do you want to shape the future of music discovery? Join the Amazon Music team and revolutionize how millions of customers listen to music by building innovative voice experiences.
As a Software Engineer on our team, you'll be at the forefront of innovating personalized music experiences for millions of listeners worldwide. You will take ownership of key features from conception to launch, working with a team of experts in machine learning and personalization to build scalable and robust systems.
- Innovate with Machine Learning: Design and implement voice-powered features that redefine how customers interact with Amazon Music, focusing on personalized recommendations and seamless track sequencing.
- Drive End-to-End Ownership: Take a feature from idea to launch, collaborating with applied scientists, product managers, and other engineers to see your work directly enhance customer engagement.
- Join a Strategic Growth Area: Be part of a team leading Amazon Music's strategic focus on voice and personalization, a rapidly evolving and high-impact space.
- Minimize Operational Burden: Build robust and scalable systems that reduce operational load, allowing you to focus on developing new features and algorithms.
- Pioneer Music Discovery: Design and implement content selection and ranking algorithms that leverage machine learning to power intelligent voice recommendations across all of Amazon Music's listening tiers.
Key job responsibilities
Here are the key responsibilities for a Software Development Engineer II in this role:
- Innovate and Develop Voice Features: Drive the development of new, voice-powered features. You will build solutions that revolutionize how customers interact with Amazon Music, focusing on personalized recommendations and seamless track sequencing.
- Design and Implement Algorithms: You will design and implement the content selection and ranking algorithms that power intelligent voice recommendations. This includes leveraging machine learning models to deliver highly personalized music experiences across all of Amazon Music's service tiers (Unlimited, Prime, and Free).
- Integrate and Collaborate: Work closely with a team of engineers and applied scientists to integrate new sequencing algorithms and models into various voice and visual customer experiences, such as AutoPlay and Stations.
- Build Scalable Solutions: Develop and deploy robust, highly scalable voice-based solutions. Your work will ensure low latency and high availability for millions of users while prioritizing advanced customer understanding and conversational abilities.
- Own the Full Lifecycle: Partner with product managers to brainstorm, experiment, and launch innovative voice experiences. You'll take ownership of features from the initial concept through to launch, seeing your work directly impact customer engagement.
About the team
The Sequencing and Voice Recommendations Team is at the forefront of revolutionizing how customers experience music through voice. We are a dynamic and innovative group of engineers and applied scientists dedicated to leveraging Generative AI and machine learning to create deeply personalized and engaging music experiences across all Amazon Music platforms. Our mission is to transform voice interaction into a seamless and intuitive gateway to music discovery and enjoyment. We focus on developing advanced algorithms for personalized recommendations, intelligent track sequencing, and robust voice-powered content delivery. We collaborate closely with product managers to ideate, experiment, and launch voice experiences that redefine how millions of users interact with music. Join us as we pioneer the next generation of personalized music discovery and enjoyment.
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