Research Scientist, Spotify

Personalization

Salary not provided
Junior, Mid and Senior level
London
Spotify

Commercial music streaming service

Be an early applicant

Spotify

Commercial music streaming service

1001+ employees

B2CMusicEntertainmentDigital MediaSaaSMobile

Be an early applicant

Salary not provided
Junior, Mid and Senior level
London

1001+ employees

B2CMusicEntertainmentDigital MediaSaaSMobile

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 PhD or are currently enrolled in a PhD program in machine learning or related area
  • You have solid understanding in machine learning, recommender systems and generative AI
  • Publications at top machine learning conferences or journals such as NeurIPS, ICML, ICLR, KDD, Recsys, SIGIR or related
  • Proven hands-on skills in sourcing, cleaning, manipulating, analyzing, visualizing and modeling of real data
  • A passion for making sense of user behavior, especially talk and music content, using the best available methods
  • You're a creative problem-solver who is passionate about digging into complex problems and devising new approaches to reach results

What the job involves

  • We are looking for a Research Scientist with a machine learning background to help us improve personalization experiences by integrating innovative generative AI technologies into our recommender systems. You will join a team of machine learning researchers whose focus is on innovating the Spotify experience through researching and developing ML technologies that power intelligent user experiences for long-term satisfaction
  • You will be part of an interdisciplinary team focusing on ensuring that the foundations of Spotify technologies are at or above the state of the art and, in the process, redefine the state of the art for the field and contributing to the wider research community by publishing papers. Our team has strong ties internally to product groups as well as externally to the research community
  • Participate in groundbreaking research in machine learning
  • Apply your scientific knowledge to analyze and collect data, perform analyses, identify problems, devise solutions and construct methodologies, including metrics and standard processes, and conduct experiments to validate these
  • Work on practical applications such as recommendation, search, voice and language understanding, and areas related to music and talk audio
  • Work in collaboration with other scientists, engineers, product managers, designers, user researchers, and analysts across Spotify to craft creative solutions to challenging problems
  • You'll have product impact, while working on and further developing a long-term research roadmap
  • You will maintain a research profile through external engagement such as publishing, giving talks, and being an active community member at 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 headshot

Freddie

Company Specialist

Insights

Top investors

Some 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

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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