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Spotify’s mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their work and billions of fans the opportunity to enjoy and be inspired by it. The Music Mission team owns Spotify’s end to end proposition for music creators and the experiences they create for fans. The team is dedicated to building tools and services to enable creation, promotion, expression, and monetization at scale.
The DISCO team is focused on building promotional tools that help artists reach more fans. Our products are used at scale -- over 1,000,000 active artists in Spotify for Artists and more than 380,000,000 listeners.
As the Staff Machine Learning Engineer for the DISCO Product Area, you will work with a cross-functional team to define and execute the Machine Learning technical strategy for the product area while working closely with a team of Engineering Managers, Staff and Senior Staff Engineers, who, with a team of dedicated engineers, will build on the momentum of Discovery Mode to enable artists and their teams to find new listeners when it matters most. Since launching in late 2020, Discovery Mode has quickly become an essential marketing tool for the music industry. This is a high-profile and strategic area for the company that will help artists grow their audiences and help grow Spotify’s core business.
What You'll Do
- Contribute to defining the Machine Learning Engineering Strategy for Discovery Mode and its royalty programs
- Contribute to designing, building, evaluating, shipping, and refining Discovery Mode and royalty programs by hands-on ML development.
- Collaborate with a cross 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.
- Prototype new approaches and production-ize solutions for Spotify For Artists customers
- Help drive optimization, testing, and tooling to improve quality.
- Be part of an active group of machine learning practitioners in New York (and across Spotify) collaborating with one another.
- Work closely with Music Mission Tech Research and Personalization teams to ideate and innovate on Music Promotion Tools
Who You Are
- You have a strong background in machine learning, with experience and expertise in machine learning algorithms.
- You have hands-on experience implementing production 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 enjoy leading projects from start to finish working closely with your team and peers. You are comfortable dealing with ambiguity on high impact projects
- Be accountable to senior tech leadership for meeting our product and technology objectives and managing expectations if those are at risk
- Passion for the opportunity to better serve artists & their teams
- Team-first approach with developed techniques to ensure teams are happy, motivated, and productive
Where You'll Be
- We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location.
- This team operates within the Eastern time zone for collaboration.
The United States base range for this position is $215,000 - $307,000 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.
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.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
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.
Spotify New York, New York, USA Office
4 World Trade Center, New York, NY, United States, 10007
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
