Machine Learning Engineering Manager, Spotify

Content Platform

$156.4-195.5k

Plus equity

Senior and Expert level
New York
Spotify

Commercial music streaming service

Open for applications

Spotify

Commercial music streaming service

1001+ employees

B2CMusicEntertainmentDigital MediaSaaSMobile

Open for applications

$156.4-195.5k

Plus equity

Senior and Expert level
New York

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 can draw on substantial depth and breadth of management experience to lead and grow a machine learning team
  • You collaborate well with teams with different backgrounds/expertise/functions
  • You have expertise in full product lifecycle; technical designs, project planning, iterative implementation, and successful product launches
  • You care about data-driven development, reliability, and responsible experimentation
  • You understand the application of intermediate principles of data science (machine learning, statistics, computer science, mathematics) to solve technical problems
  • You are an expect in the ML Operations lifecycle; data acquisition, model training, and model deployment
  • You love your customers even more than your code
  • You have experience and passion for mentoring and encouraging collaborative teams
  • You are experienced in cultivating a strong engineering culture in an agile environment

What the job involves

  • We are looking for a Machine Learning Engineering Manager to help us lead teams in support of Spotify’s Content Understanding teams
  • Our teams employ state of the art in AI-based machine technology, which enables intelligent, efficient, and intuitive ways to search, re-use, explore or process metadata
  • Engineers will use world-class engineering and machine learning techniques on real-world, internal, and external big data to directly impact the evolution of our music catalog
  • Coordinate with Product and Engineering leadership to identify both the long-term and short-term needs of the knowledge graph
  • Contribute to our team-wide product ideation in collaboration with other engineering leaders, engineers, researchers, product managers, and subject-matter experts on the team
  • Communicate complex concepts and the results of analyses in a clear and effective manner to technical and non-technical audiences
  • Collaborate with other team members and cross-functionally to share knowledge and discuss initiatives

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Insights

Top investors

23% employee growth in 12 months

Company

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

Funding (last 2 of 8 rounds)

Jan 2016

$1bn

CONVERTIBLE

Jun 2015

$526m

SERIES G

Total funding: $2.1bn

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.

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Freddie

Company Specialist at Welcome to the Jungle