Scientist, Radio & Music Informatics Science

Scientist, Radio & Music Informatics Science - (employer: Sirius XM Radio LLC; job location:
Oakland, CA) - Develop novel techniques for algorithmic radio station generation leveraging
recommender systems, machine learning, and artificial intelligence. Test and measure product
improvements via A/B testing and statistical techniques. Develop deep-learning-based music
audio tagging models and music information retrieval systems. Partner with product and
engineering to prioritize work and execute large-scale projects. Requirements: Master's degree in
Computer Science, Statistics, Computational Linguistics, Machine Learning or Music
Technology, plus 2 years of experience in the position offered or as Teaching Assistant, Graduate
Assistant or Post-Doctoral Researcher in a data science or music technology field. All of the
required experience must have included designing machine learning systems, recommender
systems or music information retrieval system; programming in Python, Scala or Java; machine-
learning frameworks TensorFlow, PyTorch, or scikit-learn; and cloud computing with GCP, AWS
or Azure. #LI-DNI This role entails hybrid work, with time split between working in our Oakland,
CA office and flexibility to telecommute from another U.S. location. Salary: $175,000-
181,250/year. Apply online at www.siriusxm.com/careers. Ref: P-2025-24.