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Audio Research Jobs (NOW HIRING)

Spotify

Research Scientist - Generative Audio

New York, NY · On-site +1

$133K - $190K/yr

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 ...

HARMAN International

Audio ML Engineer (Research)

The Audio ML Engineer (Research) will develop machine learning models to enhance Intelligent Audio experiences across devices, focusing on perception and personalization while ensuring robust ...

3Play Media

Audio Describer

Minneapolis, MN · On-site

$20 - $22/hr

Audio Describer On-Site | Swing Shift (Monday - Friday, 3:30PM - 12:00AM) The Role We are looking ... Develop and utilize efficient research methods * Follow in-house manual of style and project ...

3Play Media

Audio Describer

Minneapolis, MN

$20 - $22/hr

Audio Describer On-Site | Swing Shift (Monday - Friday, 3:30PM - 12:00AM) The Role We are looking ... Develop and utilize efficient research methods * Follow in-house manual of style and project ...

Prolim Global

Project Manager IV

Redmond, WA · On-site

Familiarity with the latest trends and technologies in data collection and audio research. * Education College degree in Business Administration, Management, Engineering, or a field relevant to the ...

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How much do audio research jobs pay per year?

As of Jul 14, 2026, the average yearly pay for audio research in the United States is $106,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $104,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Audio Research position, and why are they important?

To thrive in Audio Research, you need a strong background in acoustics, audio engineering, and data analysis, usually backed by a degree in audio technology, physics, or a related field. Familiarity with specialized software such as MATLAB, Pro Tools, or audio measurement tools, as well as experience with digital signal processing (DSP), is commonly required. Critical thinking, attention to detail, and strong teamwork and communication skills set top professionals apart. These skills ensure accurate data collection, insightful analysis, and effective collaboration important for advancing audio technologies.

What is an Audio Research job?

An Audio Research job involves studying sound, audio technology, and acoustics to improve recording, processing, and playback systems. Professionals in this field analyze audio trends, develop new sound technologies, and conduct experiments to enhance audio quality. They may work in industries such as music, film, gaming, and telecommunications, often collaborating with engineers and designers. Their responsibilities can include testing equipment, optimizing sound design, and researching innovations in audio hardware and software.

What are the typical daily responsibilities of an Audio Research professional?

Audio Research professionals typically spend their days designing and conducting experiments, analyzing acoustic data, and developing or testing new audio technologies. They collaborate closely with engineers, product designers, and other researchers to refine audio quality and solve technical challenges. Tasks may include setting up equipment, running simulations, preparing technical reports, and presenting findings to the team. This role often involves both independent work and teamwork, offering a dynamic environment for those passionate about innovation in sound.

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Audio Research jobs near you

Research Scientist - Generative Audio

Spotify

New York, NY

$133K - $190K/yr

Other

Medical, Retirement, PTO

Posted 5 days ago

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 North Americas region as long as we have a work location.
  • This team operates within the Eastern Standard time zone for collaboration.
  • Core working hours are CET 3pm-6pm / EST 9am-12pm.
The United States base range for this position is $133,194 - $190,278 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, a monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.

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.
 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice
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