Machine Learning Engineer - Content Platform


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Posted 3 weeks ago

Spotify is looking for a Machine Learning Engineer to join our Content Platform.
In Content Platform, we believe that by combining multiple sources of metadata, extracting information from the audio signal, and using our entire user community, we can be in a unique position to have the richest and most accurate catalog of audio in the world.  By deriving reliable, rich knowledge from data, we can improve our economics, improve our UX, and build a foundation for our teams to build new products. 
Come join our team of talented engineers that are passionate about tackling complex impactful projects and building reliable, scalable solutions to solve them. You will run experiments, build data pipelines and design ML models to help Spotify understand and organise our catalogue. Above all, your work will impact the way the world experiences music.

What you'll do

  • Work in a high-performance, autonomous team of engineers and collaborate with researchers, designers and product managers across Spotify
  • Build audio processing pipelines in Python and data pipelines in Java
  • Take operational responsibility for the services that are owned by your team
  • Design and run experiments at scale, and communicate their results and importance to key stakeholders
  • Work in an environment that supports your individual growth by providing you challenging tasks to solve and the time needed to acquire new skills

Who you are

  • You have a Bachelors degree (or equivalent) in computer science, machine learning, mathematics or related quantitative field, or you have extensive industry experience
  • You have experience implementing and maintaining production machine learning systems at scale
  • You have experience writing Python code and using TensorFlow (or similar libraries such as PyTorch or Theano)
  • You are passionate about writing high-quality code
  • You have excellent communication skills, both written and verbal

Where you will be

  • We are a distributed workforce enabling our band members to find a work mode best for them! Where in the world? For this role, it can be within the EMEA region in which we have a work location.
  • Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about about our work from anywhere options here.
  • Working hours? We operate within the Central European time zone for collaboration
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is 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 chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 345 million users.
Job tags: Data pipelines Economics Java Machine Learning ML Python PyTorch TensorFlow Theano UX
Job region(s): Europe
Job stats:  25  7  0
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