Machine Learning Engineer, Spotify

Personalization

$138.3-197.5k

Salary applicable for US based candidates, other locations may vary + Equity

Python

Scala

Java

PyTorch

Junior, Mid and Senior level

New York

Remote from Canada, US

More information about location

Commercial music streaming service

Job no longer available

Commercial music streaming service

1001+ employees

B2CMusicEntertainmentDigital MediaSaaSMobile

Job no longer available

$138.3-197.5k

Salary applicable for US based candidates, other locations may vary + Equity

Python

Scala

Java

PyTorch

Junior, Mid and Senior level

New York

Remote from Canada, US

More information about location

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

Job

Company

Role

Who you are

Strong background in Machine Learning, in particular experience with Large Language Models
Hands on experience with Python, Flyte, and PyTorch
Comfortable moving quickly from idea to prototype to production
Product minded
Dedicated to making the best possible product for our users
T-shaped in either Backend or Data Engineering, or preferably both
Hands-on expertise with implementing end-to-end production ML systems at scale in Java, Scala, Python, or similar languages
Experience with Pytorch, TensorFlow, Scikit-learn etc is a strong plus

What the job involves

In this role, you will develop the engine behind the AI Playlist feature and help improve and expand the technology
Contribute to the design, development, evaluation, and maintenance of the AI Playlist engine
Stay abreast of the latest in LLM technology and apply it to the team’s problem domain
Contribute broadly to the team, including developing tooling and going on-call

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

Top investors

23% employee growth in 12 months

Glassdoor (4)

Trustpilot (1.7)

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 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.

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