Machine Learning Engineer, Spotify

Music

$138.3-197.5k

+ Equity

GCP

Python

Scala

Java

Tensorflow

PyTorch

Junior, Mid and Senior level

Remote from 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

+ Equity

GCP

Python

Scala

Java

Tensorflow

PyTorch

Junior, Mid and Senior level

Remote from 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 implementing ML systems at scale in Java, Scala, Python or similar languages as well as experience with ML frameworks such as TensorFlow, PyTorch, etc
You have an understanding of how to bring machine learning models from research to production and are comfortable working with innovative, pioneering architectures
You have a collaborative approach, enjoy working closely with research scientists, machine learning engineers, and data engineers to innovate and improve models
You have experience in optimizing machine learning models for production use cases
You preferably have experience with data pipeline tools like Apache Beam, Scio, and cloud platforms like GCP
You have some exposure to causal ML models, including things like counterfactuals
You are familiar with crafting model success metric dashboards, diagnosing production issues, and are willing to take part in an on-call schedule to maintain performance

What the job involves

We’re looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their promotion strategies, whether it’s a DIY artist or an industry-facing partner
As an ML Engineer, you will help complete strategies for understanding the factors that play a role in the performance of promoted tracks across the globe
You’ll build data-driven solutions, as well as effective online and offline strategies to efficiently iterate and evaluate model approaches
You’ll have access to a growing list of datasets, features and ML infrastructure to continually experiment and improve the model-based approach
Contribute to the design, build, evaluation, shipping, and refinement of systems that improve Spotify’s promotional performance with hands-on ML development
Collaborate with a multidisciplinary team to optimize machine learning models for production use cases, ensuring they are highly efficient, scalable, and consistently meet well-defined success criteria
Influence the technical design, architecture, and infrastructure decisions to support new and diverse machine learning architectures
Work with Data and ML Engineers to support transitioning machine learning models from research and development into production
Implement and monitor model success metrics, diagnose issues, and contribute to an on-call schedule to maintain production stability

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 (4.2)

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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