Machine Learning Engineer – Deep Learning Focus, AdTech (Remote Eligible - Americas)

New York City

Applications have closed

Spotify

We grow and develop and make wonderful things happen together every day. It doesn't matter who you are, where you come from, what you look like, or what music you love. Join the band!

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At Spotify Advertising, our part of that mission is to build the next generation advertising platform for audio which can scale the freemium experience for hundreds of millions of fans and tens of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities to define the insights product for our business.
At Spotify, we’re proud of our ambitious mission of having 1 billion fans enjoying music around the world, and are seeking machine learning engineers to join us in pursuit of this goal. Our team leverages machine learning to drive both advertiser outcomes and listener satisfaction in Spotify Free, helping democratize music access globally while positively impacting Spotify’s bottom line. We develop innovative solutions around the core problem of getting the right ad to the right user at the right time, while embodying Spotify’s values and taking our users’ best interest at heart.

What you'll do

  • Apply state-of-the-art machine learning and deep learning techniques to personalize our listeners’ experience of ads on the platform.
  • Prototype new approaches and productionize solutions at scale.
  • Perform data analysis to establish baselines and inform product decisions.
  • Help drive optimization, testing, and tooling to improve quality.
  • 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 a strong background in machine learning architecture and software development with a focus on deep learning algorithms (example: DNN/RNN/LSTM etc.). 
  • You have some hands-on experience implementing machine learning systems at scale in Java, Scala, Python, or similar languages.
  • You care about agile software processes, data-driven development, reliability, and disciplined experimentation
  • You have experience and passion for fostering collaborative teams.
  • Experience with TensorFlow, pyTorch, and/or Google Cloud Platform is a plus.
  • Experience with ad tech 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

  • We are a distributed workforce enabling our band members to find a work mode that is best for them!
  • Where in the world? For this role, it can be within the Americas 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 our Work From Anywhere  options here.
  • Working hours? We operate within the Eastern Standard 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.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Architecture Data analysis Data pipelines Deep Learning Engineering GCP Google Cloud Machine Learning Pipelines Python PyTorch RNN Scala Spark Streaming TensorFlow Testing

Perks/benefits: Career development

Regions: Remote/Anywhere North America
Country: United States
Job stats:  52  9  0

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