ML Engineering Manager - Music Search

Sunnyvale, California, USA

Full Time
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Posted 1 week ago

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 Search team. We are seeking a Senior 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, 10+ years of practical experience applying ML to solve complex problems in recommender systems, information retrieval, signal processing, NLP or dialogue systems, and 5+ years of practical experience managing one or more machine learning teams. Great if you have a passion for music, but this is not a requirement.

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!





Basic Qualifications


· 7+ years of relevant engineering experience
· 3+ years of people management experience, managing engineers
· Experience in partnering with product and program management teams
· PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent);
· 7+ years of practical experience applying ML to solve complex problems for large-scale applications;
· 5+ years of experience managing one or more machine learning teams

Preferred Qualifications

· Deep hands-on technical expertise in service oriented architecture as well as full-stack experience.
· Strong business and technical vision
· Ability to handle multiple contending priorities in an energizing environment
· A deep understanding of software development in a team, and experience shipping software on time
· Extraordinary customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead engineering efforts with optimal solutions
· Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems, dialogue systems, information retrieval;
· Track record of scientific publications in premier journals and conferences;
· 8+ years of practical experience managing one or more machine learning teams;
· Skilled with Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language;
· Professional experience in software development (software design and development life cycle);
· Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives;
· Ability to manage and quantify improvement in customer experience or value for the business resulting from research outcomes;
· Project management experience for working on cross-functional projects;
· Proven achievements of developing and managing a long-term research vision and portfolio of research initiatives, with algorithms and models that have been successfully integrated in production systems;
· Strong track record of hiring and leading experienced scientists as well as a successful record of developing junior members from academia/industry to a successful career track;
· Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts.

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. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.


Job tags: AI Deep Learning Engineering Java Machine Learning Marketing Matlab ML NLP Python R Research
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