Senior Machine Learning Engineer, Spotify

Personalization

$176.2-251.7k

Salary applicable for US based candidates + Equity

Python

Scala

Java

Tensorflow

Kubeflow

Keras

Senior and Expert level

Remote in 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

$176.2-251.7k

Salary applicable for US based candidates + Equity

Python

Scala

Java

Tensorflow

Kubeflow

Keras

Senior and Expert level

Remote in 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

You have experience being a technical leader or mentor
You have a strong background in machine learning, with experience and expertise in personalized machine learning algorithms, especially recommender systems. (including experience in spotify-kubeflow and salem)
You are experienced with feature engineering and building scalable data pipelines in Scio
You have a deep understanding of Machine Learning systems and infrastructure
You have experience in Tensorflow or Keras
Hands-on expertise with implementing end-to-end production ML systems at scale in Java, Scala, Python, or similar languages

What the job involves

The Home NPV team, which is taking ownership of this surface, is looking for a Senior Machine Learning Engineer to join a team of talented engineers that share a common interest in distributed systems, scalability and Machine Learning best practices
As one of the founding Machine Learning engineers on the team
You will be responsible for training and deploying the first models to power the NPV surface, across Music, Podcasts, and Audiobooks
You will work closely with the Backend and Data engineers on the team to ensure we meet latency requirements for serving the model on the request path as well as work closely with the Engineering Manager and Product Manager to drive the future of the Machine Learning strategy
Coordinate technical projects across teams within Spotify
Facilitate collaboration with other engineers, product owners, and designers to solve interesting and challenging problems for delivering various media worldwide
Be a valued member of an autonomous, cross-functional agile team
Architect, design, develop, and deploy the first Machine Learning models that will serve realtime recommendations across the Music, Podcast, and Audiobook NPV surfaces
Be a leader in personalization's Machine Learning community and work collaboratively and efficiently within Home’s existing platforms and systems
Help drive optimization, testing, and tooling to improve quality

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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