Machine Learning Engineer, Audio - Amplify

New York, NY

Applications have closed
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Posted 1 month ago

Music for everyone, no credit card needed. It’s a promise our platform was built on. And here in the Free team, we’re still building on it. We work on a massive scale, bringing people from all kinds of disciplines and all parts of the business together to deliver an amazing freemium experience to more than 129  million users worldwide. Want to help shape the future of free? Here’s how.
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

  • Use your expertise in digital signal processing to build production systems that personalize our listeners’ experience of ads on platform.
  • Help drive optimization, testing, and tooling to improve qualityPrototype new approaches and productionize solutions at scale.
  • 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 a strong background in machine learning on audio data or in digital signal processing. 
  • You have some hands-on experience implementing or prototyping machine learning systems at scale in Java, Scala, Python, or similar languages.
  • You care about agile software processes, data-driven development, reliability, and disciplined experimentationYou 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.
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 320 million users.
Job tags: Engineering Java Machine Learning Python PyTorch Scala Spark TensorFlow
Job region(s): North America