Research Scientist - Generative Audio

About the role

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.

Responsibilities

• 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, Post-Training, Editing
• 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.

Requirements

• 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.

Qualifications

• 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.

Skills

• Strong coding skills in Python, PyTorch, and NumPy.
• 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.
• 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.
• Publications at leading conferences such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related venues.

Benefits

• Health insurance
• Six month paid parental leave
• 401(k) retirement plan
• A monthly meal allowance
• 23 paid days off
• 13 paid flexible holidays

Pay

The United States base range for this position is $133,194 - $190,278 plus equity.

Schedule

Core working hours are CET 3pm-6pm / EST 9am-12pm.