Staff Research Scientist – Music

October 23

Apply Now
Logo of Spotify

Spotify

Media • B2C • eCommerce

Spotify is a global audio streaming service company that offers its users access to a vast library of music and podcasts. Known for its focus on delivering personalized listening experiences, Spotify employs data scientists, engineers, and client partners across various global locations to continuously innovate and enhance its offerings. The company fosters a strong culture of diversity, equity, and impact, emphasizing belonging and inclusion in its workforce. Spotify is not only committed to shaping the future of audio entertainment but also to making a positive societal impact, with initiatives focused on social and environmental issues.

5001 - 10000 employees

Founded 2008

📱 Media

👥 B2C

🛍️ eCommerce

📋 Description

• 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. • Run large-scale experiments with access to Spotify’s extensive infrastructure and an audience of more than 700 million monthly active users. • Create practical applications that harness generative technologies, pushing the boundaries of what’s possible in listening experiences. • 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. • Have a direct impact on Spotify’s products, tools, and services, working on projects that influence the entire organization. • Engage with the broader research community by publishing your findings, delivering talks, and attending top conferences.

🎯 Requirements

• You have a Ph.D. degree in Computer Science, Mathematics, Engineering, or a related field. Previous industry experience is helpful. • 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. • You have publications in communities such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related. • You have strong coding skills in the following languages/libraries: Python, PyTorch, NumPy. • You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people. • You are enthusiastic about learning more about turning research ideas into products operating at scale. • You can explain complex topics in simple terms, and you enjoy building strong relationships with colleagues and stakeholders.

🏖️ Benefits

• health insurance • six month paid parental leave • 401(k) retirement plan • a monthly meal allowance • 23 paid days off • 13 paid flexible holidays

Apply Now

Similar Jobs

October 17

Rad AI

51 - 200

🔧 Hardware

Staff ML Research Scientist at Rad AI leading ML research projects on clinical NLP and reasoning systems to enhance healthcare outcomes. Collaborating with clinicians to integrate research into production-scale systems.

🇺🇸 United States – Remote

💵 $200k - $230k / year

💰 $25M Series A on 2021-11

⏰ Full Time

🔴 Lead

🧬 Research Scientist

🦅 H1B Visa Sponsor

August 18

Coinbase

1001 - 5000

₿ Crypto

💸 Finance

💳 Fintech

Staff Applied Scientist leading causal inference models at Coinbase; guides product strategy and mentors data science teams.

🇺🇸 United States – Remote

💵 $207.5k - $275k / year

💰 $21.4M Post-IPO Equity on 2022-11

⏰ Full Time

🔴 Lead

🧬 Research Scientist

🦅 H1B Visa Sponsor

July 2

Zillow

5001 - 10000

🏠 Real Estate

🛍️ eCommerce

👥 B2C

Transform real estate with AI as a Principal Applied Scientist at Zillow, focusing on multimodal technologies.

🇺🇸 United States – Remote

💵 $186.7k - $298.3k / year

💰 $4.1M Post-IPO Equity on 2012-12

⏰ Full Time

🔴 Lead

🧬 Research Scientist

🦅 H1B Visa Sponsor

Developed by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com