Senior Applied Science Manager, Conversations and Voice Amazon
San Francisco, CA

Job Description

Can Alexa help anyone experience the music they enjoy? Even if they don't know what they'd like to listen to in this moment? Or, if they know they want "Happy rock from the 90s", can she help them find it?

Your machine learning leadership skills can help make that a reality on the Amazon Music team. We are seeking a Senior Applied Science Manager to lead a team of experts in the field of machine learning to break new ground in the world of understanding and classifying different forms of music, and create interactive experiences to help users find the music they are in the mood for. We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval.

You'll work in a collaborative environment where your team can pursue ambitious, long-term research, with many peta-bytes of data, work on problems that haven't been solved before, quickly implement and deploy their algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers, and publish research. You'll see the work of your team directly improve the experience of Amazon Music customers on Alexa/Echo, mobile, and web.

The successful candidate will have a PhD in Computer Science with a strong focus on machine learning, or a related field, 5+ years of practical experience applying ML to solve complex problems in recommender systems, information retrieval, signal processing, NLP or dialogue systems, and 2+ years of practical experience managing machine learning scientists. Great if you have a passion for music, but this is not a requirement.

Responsibilities:

* Lead a team that advances long-term, exploratory research projects in machine learning and related fields to create highly innovative customer experiences;
* Develop and manage the long-term vision and portfolio of research initiatives for your team;
* Manage the design, development and evaluation of highly innovative, scalable models and algorithms;
* Lead experienced scientists as well as develop junior members from academia/industry to a successful career track in applied science;
* Grow your team by hiring the best;
* Project manage cross-functional projects;
* Work with product and software engineering teams to manage the integration of successful models and algorithms in complex, real-time production systems at very large scale.

Amazon Music

Imagine being a part of an agile team where your ideas have the potential to reach millions. Picture working on cutting-edge consumer-facing products, where every single team member is a critical voice in the decision-making process. Envision being able to leverage the resources of a Fortune-500 company within the atmosphere of a start-up. Welcome to Amazon Music, where ideas are born and come to life as Amazon Music Unlimited, Prime Music, and so much more.

Everyone on our team has a meaningful impact on product features, new directions in music streaming, and customer engagement. We are looking for new team members across a variety of job functions including software engineering/development, marketing, design, ops and more. Come join us as we make history by launching exciting new projects in the coming year.

Our team is focused on building a personalized, curated, and seamless music experience. We want to help our customers discover up-and-coming artists, while also having access to their favorite established musicians. We build systems that are distributed on a large scale, spanning our music apps, web player, and voice-forward audio engagement on mobile and Amazon Echo devices, powered by Alexa to support our customer base. Amazon Music offerings are available in countries around the world, and our applications support our mission of delivering music to customers in new and exciting ways that enhance their day-to-day lives.

Come innovate with the Amazon Music team!