Staff Machine Learning Engineer, User Fraud

Spotify

  • Full Time

The mission of User Fraud is to reduce the impact of fraudulent activity on Spotify and its partners, maintain the integrity of the platform and to ensure a healthy financial business. Put another way, we’re here to stop the bots and bad actors trying to abuse Spotify. 
In a highly collaborative organisation, you will work as a technical leader across squads, assume technical leadership of entire projects and champion technical and architectural excellence. You will strengthen the team by promoting sound engineering practices, drive work on technical strategy and roadmaps, regularly assess the technical state of teams, and advocate for standard methodologies broadly.
The challenges we are facing are very diverse and encompass a wide variety of abilities. We work with pioneering machine learning technology to tackle some incredibly complex and challenging inference problems, while at the same time we develop and maintain some of the most important data pipelines and backend systems at Spotify.

 

What you’ll do

 

  • Work on one of the most challenging, fast-paced, dynamic and high impact machine learning problem spaces in the streaming industry
  • Architect and lead the development of our anti-fraud platform and ML capabilities
  • Drive our technical strategy and contribute to our long-term vision 
  • Champion technical and architectural excellence.
  • Promote high standards in terms of software development quality.
  • Lead by example in terms of code consistency, performance, robustness and scalability.
  • Mentor and coach the other engineers and data scientists in the team to grow their own technical expertise 
  • Translate product and business goals into technology by building relationships and seeking to understand the underlying needs.
  • Be a leader of the Spotify-wide data and ML developer community affecting and driving our architecture across the company.
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    Who you are

     

  • You have demonstrable professional experience as a technical leader with proven success in fast paced, agile software engineering teams.
  • You are a technical expert, with a deep understanding and extensive experience in Machine Learning. 
  • You are passionate about fighting fraud and ideally, you have a strong experience in the area of fraud detection and mitigation and you have ​​in-depth knowledge and understanding of fraud-related risks, threats and prevention measures.
  • You have very strong coding skills and a passion for building high-quality scalable systems 
  • You thrive with very complex problems without known solutions where innovation and risk-taking are key. 
  • You are keen on mentoring more junior engineers and data scientists and you always share your experience and push to raise the bar in the organisation
  • You have excellent communication skills, and the ability to collaborate with team members across all functions of the company.
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    Where you’ll 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 our Work From Anywhere options here. Working hours? We operate within the Eastern Standard or Stockholm 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.