Machine Learning Engineer, Spotify

Advertising

$138.3-197.5k

Plus equity

Python

Scala

Java

Junior, Mid and Senior level

Remote from Canada, US

More information about location

Commercial music streaming service

Be an early applicant

Commercial music streaming service

1001+ employees

B2CMusicEntertainmentDigital MediaSaaSMobile

Be an early applicant

$138.3-197.5k

Plus equity

Python

Scala

Java

Junior, Mid and Senior level

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

We are looking for someone who is motivated by user and business problems as much as they are by technical problems, and who enjoys ambiguity, brainstorming, experimentation, and iteration
You will work in close collaboration with key stakeholders across engineering, product, business, and leadership teams to build the most impactful solutions for our Spotify listeners and business
You have professional experience in applied machine learning
You are proficient in programming languages such as Python, Java, or Scala
You have experience with operating in a cloud-native infrastructure
You have worked with LLMs to deliver solutions through AI engineering
As a plus, you may have experience with adtech, categorization systems, and evaluation tools / data curation techniques

What the job involves

We are seeking a Machine Learning Engineer II with expertise in machine learning model development, AI engineering, online experimentation techniques, and large-scale engineering systems. This role will lead strategic initiatives and projects within CareML
The CareML squad focuses on enabling review for podcast content and ads with respect to brand safety and suitability
By leveraging data and experimentation, we aim to categorize topics existing on both content and ads in various taxonomies that are used to drive large-scale ad serving systems for all of Spotify
We operate on the cutting edge of both machine learning and AI engineering, employing both in-house first party models developed through traditional machine learning and third-party foundation models leveraged from different providers
Design and implement machine learning systems to categories ad and podcast content
Research and apply best practices for driving automation with respect to human review processes
Partner with multiple teams to shape and enhance shared systems and pipelines
Come up with creative ways to apply AI tools to develop innovative solutions
Collaborate with and backend engineers, data scientists, and product managers to establish baselines, inform product decisions, and develop new technologies
This team operates within the Eastern time zone for collaboration

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 (1.6)

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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