Research Scientist, Spotify
Generative AI Technologies
More information about location
Commercial music streaming service
Be an early applicant
Commercial music streaming service
1001+ employees
Be an early applicant
More information about location
1001+ employees
Company mission
To unlock the potential of human creativity—by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it
Role
Who you are
- 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, NumPy, PyTorch / Tensorflow
- 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
What the job involves
- We are seeking a Research Scientist to help shape the future of listening on Spotify
- Our team pioneers and advances state-of-the-art generative technologies that enable recommendation and personalization features, customized playback features, and much more
- We build products for end-users, for artists, for labels and publishers, for advertisers - projects that cut across all of Spotify. We enhance current offerings and invent entirely new listening experiences that center and celebrate human artists and creatives
- Conduct cutting-edge research in audio generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, audio information retrieval, machine learning, and signal processing
- Run large-scale experiments with access to Spotify’s extensive infrastructure and an audience of more than 600 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 an autonomous, 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
Salary benchmarks
Our take
Spotify was founded in an attempt to combat the rampant music piracy that was causing significant harm to the industry. The company has since taken music streaming mainstream and now has 180m+ paying subscribers across the world.
With features that include a highly accessible interface and a vast catalogue of artists, Spotify's strong brand has been able to maintain growth in spite of fierce competition from deep-pocketed rivals like Amazon and Apple. The company has achieved this by making smart acquisitions to move into other verticals to strengthen its offerings, especially podcasting, by acquiring Gimlet Media, Anchor and Parcast.
Spotify's future plans include rapid growth with a goal to become a one-stop destination for all digital sound, as well as AI and NFT integrations. However, high costs incurred from the acquisition of exclusive podcasts, increasing competitor strength, and weak bottom-line growth mean that the company must find a balance to maintain its position in the sector.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
23% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Jan 2016
$1bn
CONVERTIBLE
Jun 2015
$526m
SERIES G
Total funding: $2.1bn
Company benefits
- Extensive learning opportunities, through our dedicated team, GreenHouse
- Flexible share incentives letting you choose how you share in our success
- Global parental leave, six months off - fully paid - for all new parents
- All The Feels, our employee assistance program and self-care hub
- Flexible public holidays, swap days off according to your values and beliefs
Company values
- Innovative: We move fast and take big risks
- Sincere: We have no time for internal politics
- Passionate: We revel in what we do
- Collaborative: We recognise that we're all in this together
- Playful: We don't take ourselves too seriously
Company HQ
Norrmalm, Stockholm, Stockholms län
Articles
Leadership
Daniel Ek
(CEO & Chairman)Founded Spotify in 2006. Previously worked as an executive at Tradera, an auction company that was sold to eBay and was briefly the CEO of uTorrent.
People progressing
Joined as a Conversion Manager in the Growth Team. Promoted three times over seven years to Senior Director - Head of Growth.
Joined as a Customer Advisor. Since then has had the role titles Senior Advisor, Content Associate, Team Coach, and Operations Manager - Primary Support. Hurst is now currently the Business Operations Manager of Music.
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