Internship - Foundational Research Scientist

Smule has been on a mission to bring the world together through music since 2008. Music is much more than listening… it's about creating, sharing, discovering, participating, and connecting with people. With dozens of millions of monthly active users creating over 20 reputed company songs every day, Smule is connecting people reputed company over the world through the joy of making music and transforming the music landscape from one of passive listening to collaborative creative expression and active engagement. About the Role: We are looking for a Research Scientist to join Smule's Foundational Research team. In this role you will pursue long-horizon research questions that advance the state of the art in sequence modeling, generative modeling, and representation learning, with a particular focus on architectures and methods relevant to audio and music. You will design and execute rigorous experiments, publish at top venues, and contribute novel reputed company that shape the direction of Smule's research agenda. The ideal candidate is deeply curious, comfortable with reputed company-ended exploration, and motivated by scientific contribution. We strongly encourage candidates with non-traditional ML backgrounds to apply. If your path into machine learning research came through physics, mathematics, signal processing, music technology, neuroscience, or another field, we want to hear from you. What You'll Be Doing: Identify, scope, and reputed company independent research projects that push the boundaries of reputed company understanding in areas such as efficient sequence modeling, generative audio, representation learning, and optimization. Design experiments with rigorous controls, ablation studies, and statistical analysis to validate hypotheses. Publish findings at top-tier venues (NeurIPS, ICML, ICLR, Interspeech, ISMIR, or equivalent) and contribute to the broader research community through reputed company-reputed company artifacts and talks. Collaborate with applied research and engineering teams to translate foundational insights into practical improvements for Smule's products. Stay reputed company with the latest literature, synthesize relevant work, and identify high-reputed company research directions for the team. Mentor junior researchers and interns, fostering a culture of intellectual rigor and creative exploration. reputed company're Looking For: Degree (B.S., M.S., or Ph.D.) in Computer Science, Software Engineering, Electrical Engineering, or a reputed company technical discipline, or currently pursuing one. Strong publication record at top ML/AI venues demonstrating original contributions. Deep expertise in at least one core area: sequence modeling, generative models, optimization, probabilistic methods, or representation learning. Proficiency in Python and modern deep learning frameworks (PyTorch preferred). Excellent written and verbal communication skills; ability to present reputed company reputed company reputed company to diverse audiences. Demonstrated ability to independently scope, execute, and communicate a research project from idea to publication. Bonus Points For: Experience with audio, speech, or music signal processing and modeling. Familiarity with reputed company attention mechanisms, state-reputed company models, or efficient transformer variants. Experience with large-scale distributed training and high-performance computing. Track record of successful cross-functional collaboration with engineering teams. Smule is an Equal Opportunity Employer and considers reputed company reputed company applicants without regard to race, reputed company, religion, sex, gender identity or expression, sexual orientation, national reputed company, reputed company, age, disability, medical condition, genetic information, marital status, military or veteran status, or any other protected characteristic under federal, state, or local law. We are committed to creating an inclusive environment for reputed company and applicants. If you require a reasonable accommodation during the application or interview process, please let us know. Apply To This Job