Sr. Applied Scientist, Amazon Music - Visual Recommendations & Ranking

Amazon; Seattle (WA); On-site; USD 150,000 - 260,000; Full time

Job summary

Amazon Music seeks a Sr. Applied Scientist to innovate in machine learning regarding their audio content offerings. You'll develop solutions for music and podcast recommendations, collaborating with a talented team to harness large-scale data for transforming customer experiences. This role is ideal for a candidate with advanced research experience and a strong programming background, eager to lead cutting-edge projects in a dynamic and diverse environment.

Benefits

Medical, financial, and other benefits

Equity and sign-on payments

Qualifications

• 3+ years of experience building machine learning models.
• Experience programming in Java, C++, Python or related languages.
• Strong background in neural deep learning methods.

Responsibilities

• Research and develop novel machine learning solutions.
• Communicate results and advocate for solutions.
• Mentor team scientists and engineers.

Skills

Machine Learning Models

Neural Deep Learning Methods

Data Analysis

A/B Testing

Programming in Java

Programming in Python

Modeling Tools

Education

PhD in relevant field

Master's degree with 6+ years experience

Tools

TensorFlow

scikit-learn

Spark MLLib

Hadoop

Job description

Sr. Applied Scientist, Amazon Music - Visual Recommendations & Ranking

Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators worldwide. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service. Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale.

Key job responsibilities
- Work backwards from customer problems to research and develop novel machine learning solutions for generating and ranking music, podcast, and audio-book recommendations. Through A/B testing and online experiments done hand-in-hand with engineering teams, you'll implement and validate your ideas and solutions.
- Advocate solutions and communicate results, insights and recommendations to stakeholders and partners.
- Produce innovative research on recommender systems that shapes the field and meets the high standards of peer-reviewed publications. You'll cement your team's reputation as thought leaders pioneering new recommenders. Stay current with advancements in the field, adapting latest in literature to build efficient and scalable models.
- Mentor team scientists and engineers

A day in the life
Lead innovation in ML to shape Amazon Music experiences for millions. Collaborate with talented engineers and scientists to guide research and build scalable models across our audio portfolio - music, podcasts, audio books, live streaming, and more. Drive experiments and rapid prototyping, leveraging Amazon's data at scale. Innovate daily alongside world-class teams to delight customers worldwide through personalization.

About the team
The Visual Ranking and Recommenders team at Amazon Music is revolutionizing how millions of customers discover and experience music worldwide. We're building the next generation of personalized music discovery, crafting intelligent, context-aware experiences that capture listeners from their first interaction. Operating at massive scale, we power music discovery across all platforms - from mobile apps to desktop experiences and web browsers. Our tech drives critical touchpoints including the browse home page, personalized library, and now-playing experience. Using machine learning and vast amounts of user data, we create uniquely tailored experiences that transform casual listeners into passionate music enthusiasts. Join us in shaping how millions experience music every day.- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Experience partnering closely with engineering teams throughout the full product development lifecycle, from conception, validation, experimentation and analysis, to customer launch.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.

About the company

Amazon.com, Inc. is an American multinational technology company based in Seattle, Washington, which focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. It is one of the Big Five companies in the U.S. information technology industry, along with Google, Apple, Microsoft, and Facebook. The company has been referred to as "one of the most influential economic and cultural forces in the world", as well as the world's most valuable brand.

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