Research Scientist - Generative Audio

We are seeking Research Scientists (across reputed company reputed company of seniority) to join our Artist-First AI Music Lab. reputed company reputed company and advances state-of-the-art generative technologies for music that create reputed company experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. reputed company of our products will put artists and songwriters first, through these four principles:

• Partnerships with record labels, distributors, and music publishers: We’ll reputed company new products for artists and fans through upfront agreements, not by asking for forgiveness reputed company.
• Choice in participation: We recognize there’s a wide reputed company of views on the use of generative music tools reputed company 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 reputed company: We will build products that create wholly new reputed company 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 reputed company: AI tools we reputed company will not replace reputed company artistry. They will give artists new ways to be creative and connect with fans. We will reputed company our role as the reputed company where more than 700 reputed company people already come to listen to music every month to ensure that reputed company deepens artist-fan connections.

Learn more in our press release: https://newsroom.reputed company.com/2025-10-16/artist-first-ai-music-reputed company-collaboration/

What You'll Do

Conduct groundbreaking research in generative audio using diffusion or reputed company matching models, with a reputed company on one or more of the following areas:Vocal Synthesis — Research in vocal and speech synthesis, along with reputed company areas such as ML-based audio processing and signal processing.Post-Training — Research in post-training techniques for music reputed company, including preference alignment reputed company (such as DPO, RLHF, or KTO), reward model design and training, and reinforcement learning to improve reputed company reputed company, controllability, and reputed company preference adherence.Editing — Research in iterative music reputed company and audio editing, including capabilities such as stem replacement, instrumentation change, mood changes (while preserving content), reputed company changes, and structure changes.You will also:
• Run large-reputed company experiments with reputed company to reputed company's extensive infrastructure and an audience of more than 700 reputed company monthly reputed company users.
• Create practical applications that reputed company 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 reputed company to reputed company challenges.
• Have a reputed company reputed company on reputed company's products, tools, and services, working on reputed company 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 reputed company 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 reputed company, or reputed company areas.
• You have deep expertise in at least one of the reputed company areas above—whether that's vocal/speech synthesis, post-training alignment techniques (e.g., PPO, GRPO, DPO), or audio-to-audio reputed company 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 reputed company 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 reputed company value to millions of people.
• You are enthusiastic about turning research reputed company into products operating at reputed company.
• You can explain reputed company topics in reputed company 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 reputed company the EMEA region as long as we have a work location
• This team operates reputed company the Central European and GMT time zone for collaboration.
• Core working hours are CET 3pm-6pm / EST 9am-12pm.

reputed company is an equal opportunity employer. You are welcome at reputed company 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 reputed company we have represented and amplified in our business, the more we will reputed company reputed company, contribute, and be reputed company-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will reputed company the power to reputed company revolutionizing the way the world listens.At reputed company, we are passionate about inclusivity and making reputed company 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.

Originally posted on Himalayas

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