Machine Learning Engineer, Spotify

Salary not provided
AWS
GCP
Python
Scala
Tensorflow
Mid and Senior level
London

1-5 days a week in office

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
AWS
GCP
Python
Scala
Tensorflow
Mid and Senior level
London

1-5 days a week in office

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 strong background in machine learning, theory, and practice
  • You are comfortable explaining the intuition and assumptions behind ML concepts
  • You have hands-on experience implementing and maintaining production ML systems in Python, Scala, or similar languages
  • Experience with TensorFlow is also a plus
  • You are experienced with building data pipelines, and you are self-sufficient in getting the data you need to build and evaluate your models
  • You preferably have experience with cloud platforms like GCP or AWS
  • You care about agile software processes, data development, reliability, and focused experimentation
  • You have a desire to drive business impact

What the job involves

  • This role sits in a squad called White Mouse that owns the optimization of plan upsell targeting across Spotify
  • Our key problem areas are: What plan should the user be upsold on discovery surfaces? How should we communicate the user on consideration surfaces? How should we balance upselling plans vs other paid products?
  • Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development
  • Collaborate with a multi-functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways
  • Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users
  • Help drive optimisation, testing, and tooling to improve quality
  • Be part of an active group of machine learning practitioners in your mission and across Spotify

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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