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ML Engineering Manager - Music Search

Sunnyvale, CA 94086
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Job Details


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 €œHappy 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.

Come innovate with the Amazon Music team!


· 7+ years of relevant engineering experience
· 3+ years of people management experience, managing engineers
· Experience in partnering with product and program management teams


· At least MSc. (PhD preferred) 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
· 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 Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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