Senior Applied Scientist (ML, NLP, p13N, Conversational AI)


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 skills can help make that a reality on the Amazon Music team. We are seeking a Senior Applied Scientist who will join a team of experts in the field of machine learning, and work together to break new ground in the world of understanding and classifying different forms of music, and creating 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 you 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 your algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers, and publish your research. You'll see the work you do 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, and 3+ years of practical experience applying ML to solve complex problems in recommender systems, information retrieval, signal processing, NLP or dialogue systems. Great if you have a passion for music, but this is not a requirement.

  • Advance long-term, exploratory research projects in machine learning and related fields to create highly innovative customer experiences;
  • Analyze large amounts of Amazon’s customer data to discover patterns, find opportunities, and develop highly innovative, scalable algorithms to seize these opportunities;
  • Validate new or improved models via statistically relevant experiments across millions of customers;
  • Work closely with software engineering teams to build scalable prototypes for testing, and integrate successful models and algorithms in production systems at very large scale;
  • Technically lead and mentor scientists.

Basic Qualifications

  • PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent);
  • 3+ years of practical experience applying ML to solve complex problems;
  • Algorithm and model development experience for large-scale applications;
  • Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language;
  • Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives

Preferred Qualifications

  • 5+ years of practical experience applying ML to solve complex problems;
  • Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, deep learning, NLP, recommendation systems, dialogue systems, information retrieval;
  • Significant peer reviewed scientific contributions in premier journals and conferences;
  • Expert in more than one more major programming languages (C++, Java, or similar) and at least one scripting language (Perl, Python, or similar);
  • Proven track record of production achievements, handling gigabyte and terabyte size datasets;
  • Strong fundamentals in problem solving, algorithm design and complexity analysis;
  • Strong personal interest in learning, researching, and creating new technologies with high customer impact;
  • Experience with defining research and development practices in an applied environment;
  • Proven track record in technically leading and mentoring scientists;
  • Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts.

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. Qualified applicants with criminal histories will be considered in a manner consistent with all applicable local, state and federal laws.

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Confirmed 30+ days ago. Posted 30+ days ago.

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