Principal Applied Scientist , Amazon Music, Machine Learning and Personalization

Amazon; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

An established industry player is seeking a visionary Principal Applied Scientist to lead machine learning initiatives at the forefront of audio entertainment. This role offers a unique opportunity to shape the future of how millions engage with music through innovative applications of AI and ML. You will oversee the design of ML strategies, mentor teams, and collaborate with various departments to push the boundaries of what's possible in the entertainment sector. If you are passionate about technology and its impact on music and culture, this is the perfect opportunity to make your mark.

Qualifications

• 10+ years of experience in building ML models and a PhD in a related field.
• Strong familiarity with Generative AI and a track record of scientific publications.

Responsibilities

• Guide teams in translating complex requirements into high-impact deliverables.
• Drive innovation using advanced ML techniques in entertainment.

Skills

Machine Learning

Artificial Intelligence

Generative AI

Recommendation Systems

Search Algorithms

Data Analysis

Education

PhD in Computer Science/Math

Tools

Python

TensorFlow

PyTorch

Job description

Principal Applied Scientist, Amazon Music, Machine Learning and Personalization

Job ID: 2961809 | Amazon.com Services LLC

Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. 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.

We are seeking a visionary and seasoned technology leader to drive our investments in machine learning (ML) and artificial intelligence (AI). As a Principal Applied Scientist, you will report directly to the Director of Machine Learning at Amazon Music, and help architect our ML strategy, overseeing the design of our ML stack and ensuring the quality of our models. Your success in this role will depend on your deep expertise in search, personalization, discovery, AI/ML, Generative AI, and your passion for entertainment. This is a unique opportunity to influence the future of audio entertainment for millions of listeners worldwide. As a center of excellence in machine learning, this role will place you at the forefront of applying Generative AI at scale, using Amazon’s rich datasets. You will have a direct impact on shaping the future of audio exploration, driving massive customer experience improvements, and achieving critical business KPIs.

Key job responsibilities

1. As a technical leader, you will guide teams of scientists and engineers in translating complex business and functional requirements into tangible, high-impact deliverables.
2. Drive innovation by applying advanced ML techniques in recommendation systems, search algorithms, and marketing optimization.
3. Provide thought leadership and guidance to push the boundaries of what’s possible with Generative AI in entertainment.
4. Represent Amazon Music at both internal and external scientific conferences, collaborating closely with teams across Amazon, including Retail, Prime Video, AGI, and AWS, to advance the state of AI/ML research and its applications.
5. Build and nurture partnerships with academic institutions to ensure our teams have access to the latest research and mentoring opportunities.

BASIC QUALIFICATIONS

1. PhD in Computer Science/Math or a related field
2. 10+ years’ industry/academic experience in building machine learning models
3. Strong familiarity with Gen AI for foundational models and Large Language Models
4. Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art applied science

PREFERRED QUALIFICATIONS

1. Computer Science fundamentals in Computer Vision and DL across modeling, data structures, algorithm design and complexity analysis
2. The ability to Think Big, Dive Deep and Learn & Be Curious to provide strategic direction to various entertainment teams across Amazon
3. The leadership and interpersonal skills necessary to excel in influence-based roles, with or without direct authority, while working closely with internal and external partners in leading science efforts to meet aggressive timelines with optimal solutions
4. A demonstrated track record of project delivery for large, cross-functional projects with evolving requirements.
5. Ability to take a project from requirements gathering and design to actual product launch.

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