Machine Learning Engineer - User Journey

Stockholm

Full Time Senior-level / Expert USD 45K - 150K *
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Spotify

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The Freemium R&D team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify’s audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we’re able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify.
The Freemium R&D team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Within Freemium R&D, the Voyager product area focuses on the sign-in, sign-up and conversion to Spotify Premium aspects of that user journey. Our long-term goal is to make these experiences more personalized using Machine Learning. Some examples of our work are: retrieving and ranking artists you might like to follow when going through your Spotify onboarding, predicting which users we should send Spotify Premium upsell messages to and which are happy on the Free experience. We partner with other teams within the product area to experiment with new ways to personalize and explore different opportunities.
 Our squad is a combination of Machine Learning Engineers, Data Engineers, Backend Engineers and Data Scientists. If this sounds like something you would be interested in working on, please apply.

What you’ll do:

  • Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development.
  • Collaborate with a multi-functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways.
  • Prototype new approaches and productionalize solutions at scale for our hundreds of millions of active users.
  • Help drive optimization, testing, and tooling to improve quality.
  • Be part of an active group of machine learning practitioners in your mission and across Spotify.

Who you are:

  • You have a strong background in machine learning, theory, and practice.
  • You are comfortable explaining the intuition and assumptions behind ML concepts.
  • You have hands-on experience implementing and maintaining high-scale, production ML systems in Python, Scala, or similar languages. Experience with TensorFlow is also a plus.
  • You are experienced with building data pipelines, and you are self-sufficient in getting the data you need to build and evaluate your models, using tools like Apache Beam, Spark, or other distributed data processing frameworks.
  • You preferably have experience with and cloud platforms like GCP or AWS.
  • You care about agile software processes, data development, reliability, and focused experimentation.
  • You love your customers even more than your code.

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 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 our Work From Anywhere  options here.
  • Working hours? We operate within the Central European time zone for collaboration
  • We ask that our team members be located within Greenwich Mean time zone, Central European time zone, or Eastern European standard time zone for the purposes of our collaboration hours.
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 DisclosureSpotify 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.

* Salary range is an estimate based on our salary survey at salaries.ai-jobs.net

Tags: Agile AWS Data pipelines Engineering GCP Machine Learning ML Python R R&D Research Scala Spark Streaming TensorFlow Testing

Perks/benefits: Career development Team events

Region: Europe
Country: Sweden
Job stats:  13  2  0
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