About the role
We are looking for a Principal Research Scientist to join our team, working with the intersection of music, audio, machine learning, and human behavior. This is a hands-on technical research role, focusing on improving existing and developing new research efforts, that will have a direct impact on millions of users across many products. You will be part of a diverse group of scientists, engineers, and product managers, contributing to the core of the music experience.
What you’ll do
- Lead and contribute to world-class research in music, audio, machine learning, and human behavior, with a focus on impact across products.
- Propose, develop, and prototype innovative research ideas and models that improve music understanding and recommendation systems.
- Work closely with product and engineering teams to integrate research insights and solutions into real-world applications.
- Mentor and guide junior researchers and scientists, fostering a culture of technical excellence and collaboration.
- Stay up-to-date with the latest advancements in relevant research fields and represent the company at scientific conferences and workshops.
- Communicate complex research findings and their implications to both technical and non-technical audiences.
Who you are
- Ph.D. in Machine Learning, Computer Science, Engineering, Statistics, or a related quantitative field, or equivalent practical experience.
- 10+ years of experience in an industry research role, with a strong track record of publications at top-tier conferences (e.g., NeurIPS, ICML, ICLR, ISMIR, AAAI, KDD, WWW, RecSys).
- Demonstrated expertise in music information retrieval, audio processing, recommendation systems, or related areas.
- Proficiency in scientific programming languages (e.g., Python, R) and machine learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with large-scale data processing and distributed computing (e.g., Spark, Hadoop).
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
- Experience mentoring and leading research projects.
Where you’ll be
- This role is fully remote, allowing you to work from anywhere in North America.
- Working hours will be Eastern Standard Time (EST).
