Senior Applied Scientist, Voice

Job Description

Job summary
About Amazon Music

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 an 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 our users' long and short term preferences, and creating interactive experiences to help them get the most out of their Amazon Music journey.

You'll work in a collaborative environment where you can pursue ambitious, long-term goals, with many peta-bytes of data, work on problems that haven't been solved before, quickly prototype or implement your algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers, and publish your applied 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 4+ years of practical experience applying ML to solve complex problems in user modeling/targeting, conversational AI, or recommender systems. Great if you have a passion for music, but this is not a requirement.

Key job responsibilities

Responsibilities:
• Advance both long-term, exploratory research projects and short-term targeted improvements 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.

BASIC QUALIFICATIONS
• PhD degree with 4 years of applied research experience or a Masters degree and 6+ years of experience of applied research experience
• 3+ years of experience in building machine learning models for business application
• Experience programming in Java, C++, Python or related language

PREFERRED QUALIFICATIONS
• Professional experience in software development (software design and development life cycle);
• Track record of scientific publications in premier journals and conferences;
• Experience handling gigabyte and terabyte size datasets;
• Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives;
• Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, deep learning, NLP, recommendation systems, dialogue systems, information retrieval, user modeling/targeting;
• 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.

Jobcode: Reference SBJ-g32jn9-18-223-172-252-42 in your application.