--- title: 'Research Scientist - Generative Audio at Spotify' canonical: 'https://feeny.ai/job/research-scientist-generative-audio-spotify-london-j259x3ca4c7g' type: 'job' last_seen: '2026-09-07' --- # Research Scientist - Generative Audio at Spotify - **Company:** Spotify - **Location:** London, United Kingdom - **Work type:** remote - **Posted:** 2026-07-10 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.lever.co/spotify/819f584f-84a5-485d-8082-3412545f6c8a ## Job description We are seeking Research Scientists (across all levels of seniority) to join our Artist-First AI Music Lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles: Partnerships with record labels, distributors, and music publishers: We’ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later. Choice in participation: We recognize there’s a wide range of views on the use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music. Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for the use of their work and transparently credited for their contributions. Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections. Learn more in our press release: https://newsroom.spotify.com/2025-10-16/artist-first-ai-music-spotify-collaboration/ ## What You'll Do Conduct groundbreaking research in generative audio using diffusion or flow matching models, with a focus on one or more of the following areas: Vocal Synthesis — Research in vocal and speech synthesis, along with related areas such as ML-based audio processing and signal processing. Post-Training — Research in post-training techniques for music generation, including preference alignment methods (such as DPO, RLHF, or KTO), reward model design and training, and reinforcement learning to improve output quality, controllability, and human preference adherence. Editing — Research in iterative music generation and audio editing, including capabilities such as stem replacement, instrumentation change, mood changes (while preserving content), tempo changes, and structure changes. You will also: - 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 and push 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. ## Who You Are - You have a Ph.D. 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 deep expertise in at least one of the focus areas above—whether that's vocal/speech synthesis, post-training alignment techniques (e.g., PPO, GRPO, DPO), or audio-to-audio generation and text-guided music editing. - You have publications at leading conferences such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related venues. - You have strong coding skills in Python, PyTorch, and 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 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. Where You'll Be - We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have[a work location](https://lifeatspotify.com/being-here/work-from-anywhere) - This team operates within the Central European and GMT time zone for collaboration. - Core working hours are CET 3pm-6pm / EST 9am-12pm. 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. 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. ## About Spotify ## Company Overview - **One-liner**: Spotify is the world's most popular audio streaming subscription service, connecting users to over 100 million tracks, 7 million podcast titles, and 700,000 audiobooks across 184 markets. - **Entity Type**: Public (NYSE: SPOT) - **Headquarters**: Stockholm, Sweden - **Founded**: 2006 - **Founders**: Daniel Ek and Martin Lorentzon ## Core Business - Primary industry: Audio streaming and digital media - Target customers: B2C (consumers via Free and Premium tiers) and B2B (advertisers, artists, and labels through Spotify Advertising and Spotify for Artists) - Mission: "To deliver creativity to the world—one note, one voice, one idea at a time." ## Products & Services - **Spotify Free**: Ad-supported streaming of music, podcasts, and audiobooks - **Spotify Premium**: Subscription tier with offline mode, improved sound quality, and ad-free listening - **Spotify for Artists**: Analytics, promotion, and monetization tools for creators - **Spotify Advertising**: Programmatic and self-serve ad platform for brands - **Audiobooks**: Catalog of 700,000+ audiobook titles (market entry in 2022) ## Market Standing - **Valuation/Market Cap**: Not disclosed in available sources; stock price reported at USD 391.23 (as of 2024-10-29) - **Key Metric**: Annual Revenue EUR 17.2B; 777 million monthly users including 300 million subscribers (per Spotify Newsroom). Note: LinkedIn company data lists 365M users/165M subscribers — conflicting reports, likely reflecting an older snapshot. - **Notable Investors/Partners**: Series A of USD 21.6M with 5 investors (2008); debt financing of USD 1.0B (2016); convertible notes in 2016 and 2021. Key acquisitions include Sonantic (2022), Mediachain (2017), and Tunigo (2013). - **Growth Signals**: Headcount grew +14.2% YoY to 8,921 employees; 9 offices across 4 countries; expansion into audiobooks; 300M+ paying subscribers. ## Competitive Advantages - Scale: largest audio streaming subscriber base globally - Data and AI personalization: mature recommendation engines and AI-driven discovery - Multi-format audio ecosystem: music, podcasts, and audiobooks in a single app - Strong brand recognition and deep creator relationships ## Strategic Focus - AI-powered personalization and generative audio tools - Audiobook market expansion - Podcast ecosystem growth - Creator monetization and artist tools ## Why Work Here - Employer rating 4.0/5.0 from 2,155 reviews (Work-Life: 4.2, Compensation: 3.9, Culture: 4.0, Career: 3.5) - **Work ## Other roles at Spotify - [Talent Acquisition Lead](https://feeny.ai/job/talent-acquisition-lead-spotify-singapore-12xvv8epn405) — Singapore - [Senior Product Manager - Audiobooks Format Foundations](https://feeny.ai/job/senior-product-manager-audiobooks-format-foundations-spotify-london-zw5q1r1wtr0q) — London, United Kingdom - [Staff Data Scientist - Experience](https://feeny.ai/job/staff-data-scientist-experience-spotify-stockholm-7taecwqpkhp5) — Stockholm, Sweden - [C++ Engineer - Experience](https://feeny.ai/job/c-engineer-experience-spotify-stockholm-gz7bg2y4csyy) — Stockholm, Sweden - [Manager, Proposition Strategy](https://feeny.ai/job/manager-proposition-strategy-spotify-new-york-hg1v4dt60pvz) — New York, NY - [Social Media Manager, Campaigns & Platform Strategy](https://feeny.ai/job/social-media-manager-campaigns-platform-strategy-spotify-new-york-85n7jmvre48j) — New York, NY - [Product Manager - Customer Service Platform](https://feeny.ai/job/product-manager-customer-service-platform-spotify-london-vg49ft635gk3) — London, United Kingdom - [Engineering Manager - Experimentation](https://feeny.ai/job/engineering-manager-experimentation-spotify-london-wrt5th6mc3qz) — London, United Kingdom - [Senior Machine Learning Engineer - Artist-First AI Music Lab](https://feeny.ai/job/senior-machine-learning-engineer-artist-first-ai-music-lab-spotify-new-york-3878mpf4eh5h) — New York, NY - [Lead, Global Markets Strategy](https://feeny.ai/job/lead-global-markets-strategy-spotify-new-york-bbvadsavxqdz) — New York, NY