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Confidencial

New York, NY

Senior Research Scientist - Music

RemotoSeniorPermanent

Publicado 23 de octubre de 2025

Oferta externa

Esta vacante proviene de una fuente externa. La descripción puede estar abreviada y algunos datos (salario, habilidades) pueden no estar disponibles. Regístrate como candidato para recibir la información completa.

Descripción del puesto

<h3>What You'll Do</h3> <li>Conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing.</li> <li>Run large-scale experiments with access to Spotify’s extensive infrastructure and an audience of more than 700 million monthly active users.</li> <li>Create practical applications that harness generative technologies, pushing the boundaries of what’s possible in listening experiences.</li> <li>Collaborate as part of a cross-functional team—working closely with scientists, engineers, product managers, designers, user researchers, and analysts—to craft innovative solutions to complex challenges.</li> <li>Have a direct impact on Spotify’s products, tools, and services, working on projects that influence the entire organization.</li> <li>Engage with the broader research community by publishing your findings, delivering talks, and attending top conferences.</li> <h3>Who You Are</h3> <li>You have a Ph.D. degree in Computer Science, Mathematics, Engineering, or a related field. Previous industry experience is helpful.</li> <li>You have experience in one or more of the following fields: generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic modeling, computer vision, or related areas.</li> <li>You have publications in communities such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related.</li> <li>You have strong coding skills in the following languages/libraries: Python, PyTorch, NumPy.</li> <li>You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people.</li> <li>You are enthusiastic about learning more about turning research ideas into products operating at scale.</li> <li>You can explain complex topics in simple terms, and you enjoy building strong relationships with colleagues and stakeholders.</li> <h3>Where You'll Be</h3> <li>We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have<a rel="noopener noreferrer" href="https://lifeatspotify.com/being-here/work-from-anywhere" class="postings-link"> a work location.</a></li> <li>This team operates within the Eastern Standard time zone for collaboration.</li> <li>Core working hours are CET 3pm-6pm / EST 9am-12pm.</li> <div><span style="font-size: 11pt;">Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.</span></div> <div>&nbsp;</div> <div><span style="font-size: 11pt;">At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.</span></div> <div>&nbsp;</div>

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