Staff Machine Learning Engineer, Rewards

Spotify

  • Full Time

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We ask that our team members be physically located in Central European time or Eastern Standard/Daylight time zones for the purposes of our collaboration hours.

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Daily Mix to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making outstanding recommendations to each and every one of them.

We are looking for a Staff Machine Learning Engineer (MLE) to join our Lifetime Value (LTV) product area of hardworking engineers that are passionate about understanding what drives users’ long-term happiness with Spotify, and how our recommendations and content affects that. As an integral part of the squad, you will collaborate with research scientists, data scientists and other engineers in prototyping and productizing brand-new ML at the intersection of recommendations and long-term user satisfaction.

 

What You’ll Do

 

  • Prototype new ML approaches for scoring or ranking content and productionize solutions at scale.
  • Collaborate with engineering partners and colleagues in large multi-functional efforts to build new product features that advise and enrich Spotify’s various recommendation surfaces.
  • Promote and role-model best practices of ML model development, testing evaluation, and so forth, both inside the team as well as throughout the organization.
  • Join an active group of machine learning practitioners in New York (and across Spotify) collaborating with one another.
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    Who You Are

     

  • You have ample experience in machine learning research, in fields such as recommendation systems, ranking and relevance, reinforcement learning, and/or probability theory and statistics. You enjoy applying theory to develop real-world applications.
  • You have applied knowledge of A/B testing for model evaluation.
  • You have hands-on experience implementing production machine learning systems at scale in Python, Java, or similar languages. Experience with tools like TensorFlow, PyTorch, or scikit-learn. is a strong plus.
  • You are a self-starter who drives your own projects and builds positive relationships with partners and colleagues to solve big multi-functional efforts from start to finish. You are able to succeed with minimal mentorship and process.
  • You have experience with agile software processes and modular code design following standard methodologies.
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    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.
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    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.
    Global COVID and Vaccination Disclosure
    Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.