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Machine Learning Engineer II, Content Understanding

extra holidays - extra parental leave
Remote: 
Hybrid
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 
London (GB), Stockholm (SE)

Offer summary

Qualifications:

Professional experience in applied machine learning, Proficient in Python and cloud platforms (GCP or AWS), Hands-on experience with ML systems at scale, Experience architecting data pipelines, Familiarity with TensorFlow and PyTorch.

Key responsabilities:

  • Build production systems to enhance user experience
  • Design, develop, and evaluate ML models
  • Prototype new approaches for large-scale deployment
  • Drive optimization and improve quality through testing
  • Collaborate with cross-functional agile teams
Spotify logo
Spotify XLarge https://www.lifeatspotify.com/
5001 - 10000 Employees
HQ: Stockholm
See more Spotify offers

Job description

As Spotify grows its video catalog, understanding and classifying visual content in our catalog becomes very important to support moderation, search and recommendation use cases. We are a small, cross-functional team of Machine Learning Engineers and Data Engineers leveraging state of the art machine learning solely focused on building and deploying visual understanding models. 

Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music and audio they love to the devices, apps and platforms they use every day. Know what our users want? Join us and help Spotify give it to them.

As a Machine Learning Engineer in our Content Understanding teams, you will help define and build ML deployed at scale in support of a broad range of use cases driving value in media and catalog understanding.




What You'll Do
  • Build production systems that enrich and improve our listeners’ experience on the platform
  • Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development
  • Prototype new approaches and production-ize solutions at scale for our hundreds of millions of active users
  • Help drive optimization, testing, and tooling to improve quality
  • Perform data analysis to establish baselines and inform product decisions
  • Collaborate with a cross functional agile team spanning design, data science, product management, and engineering to build new technologies and features

  • Who You Are
  • You have professional experience in applied machine learning
  • Extensive experience working in a product and data-driven environment (Python, Scala, Java, SQL, or C++, with Python experience required) and cloud platforms (GCP or AWS)
  • You have some hands-on experience implementing or prototyping machine learning systems at scale 
  • You have experience architecting data pipelines and are self-sufficient in getting the data you need to build and evaluate models, using tools like Dataflow, Apache Beam, or Spark
  • You care about agile software processes, data-driven development, reliability, and disciplined experimentation
  • You have experience and passion for fostering collaborative teamsExperience with TensorFlow, pyTorch, and/or Google Cloud Platform is a plus
  • Experience with building data pipelines and getting the data you need to build and evaluate your models, using tools like Apache Beam / Spark is a plus

  • Where You'll Be
  • You will work out of our London office
  • Required profile

    Experience

    Level of experience: Mid-level (2-5 years)
    Industry :
    Music
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Other Skills

    • Collaboration
    • Reliability

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