Senior Machine Learning Engineer, SoundCloud

Search

Salary not provided

+ Equity plan

AWS

GCP

Python

Scala

Elasticsearch

Azure

Spark

BigQuery

Mid and Senior level

Berlin

More information about location

Next-generation music entertainment ecosystem

Be an early applicant

Next-generation music entertainment ecosystem

501-1000 employees

B2CMusicSaaSCommunityMedia

Be an early applicant

Salary not provided

+ Equity plan

AWS

GCP

Python

Scala

Elasticsearch

Azure

Spark

BigQuery

Mid and Senior level

Berlin

More information about location

501-1000 employees

B2CMusicSaaSCommunityMedia

Company mission

To empower artists and fans to connect and share through music.

Job

Company

Role

Who you are

A Ph.D. or M.Sc. in a quantitative field (e.g., Computer Science, Statistics, Machine Learning) or equivalent industry experience
3+ years of professional experience shipping large-scale ML models to production
Strong engineering background in Python or Scala, with hands-on experience using data processing frameworks (e.g., Spark, BigQuery) and search technologies (e.g., Elasticsearch)
Deep understanding of core search concepts, including indexing, retrieval, and Learning to Rank (LTR), and the ability to discuss trade-offs between different approaches
Proven experience building and scaling ML infrastructure and tooling for model deployment, lifecycle management, and monitoring in a cloud environment (GCP, AWS, or Azure)

What the job involves

We are looking for a Senior Machine Learning Engineer to join our Search team
As the founding Machine Learning Engineer on this team, you will have a unique opportunity to shape and lead the ML practice for one of SoundCloud's most critical product areas
You will partner closely with data science and engineering teams to design, build, and deploy the models that help millions of listeners discover our vast and unique catalog of music and audio
Design, build, and deploy end-to-end machine learning solutions for search, focusing on ranking, relevance, and query understanding (NLP)
Take ownership of the full ML lifecycle, from prototyping and evaluation to deploying scalable models into production and monitoring their performance
Strengthen and scale the foundation for ML engineering and MLOps within the Search team, defining best practices and building tooling to enable rapid iteration
Partner with analysts and data scientists to translate research into production-ready systems
Collaborate with other ML engineers to leverage shared infrastructure and knowledge

Our take

Founded in 2007, SoundCloud recognized the need for an artist-first platform. The company set out with a clear mission: to empower independent artists by providing them with the necessary tools and resources to grow and build their careers.

Today, SoundCloud boasts over 40M artists on its platform, far outpacing Spotify, which has 11M. As a result, SoundCloud is the largest audio discovery platform in a rapidly growing market. According to MIDiA Research, the independent artist market is poised for continued revenue growth in the coming years, further solidifying SoundCloud's place in the industry.

The company plans to scale its audience and expand its services through new offerings, such as the SoundCloud "roster". This tier system is designed to provide artists with significant creative and financial resources, along with market support, rivalling major record labels. While artists retain ownership of their copyrights, they will be represented by SoundCloud, further enhancing the platform's appeal to independent creators.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

3% employee growth in 12 months

Glassdoor (3)

Trustpilot (1.4)

Company

Funding (last 2 of 7 rounds)

Feb 2020

$75m

SERIES G

Aug 2017

$170m

SERIES F

Total funding: $469.1m

Company HQ

Mitte, Berlin, BE

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