Conduct research in machine learning focusing on AI, develop models, design experiments, collaborate on product ideas, and mentor researchers.
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.
Spotify’s Personalization organization builds the technology that helps millions of listeners discover what they love. Within this space, our research team focuses on advancing the state of the art in machine learning and AI to shape the future of personalization. We explore new approaches, challenge existing assumptions, and contribute to the broader research community while influencing long-term product direction.
What You'll Do
- Conduct original research in machine learning and artificial intelligence, with a focus on large-scale foundation models and generative AI
- Develop novel methodologies, models, and evaluation frameworks to advance personalization systems
- Design and execute rigorous experiments to explore new ideas and validate research hypotheses
- Contribute to the scientific community through publications, talks, and conference participation
- Collaborate with cross-functional partners to translate research insights into long-term product opportunities
- Help define and evolve a forward-looking research agenda aligned with Spotify’s personalization strategy
- Mentor others and contribute to a strong, curious, and collaborative research culture
Who You Are
- You have a Master’s or PhD in machine learning, artificial intelligence, or a related field, or equivalent research experience
- You have 2+ years of experience conducting research in machine learning or AI, ideally in an industry or academic setting
- You have a track record of publications or contributions to top-tier conferences such as NeurIPS, ICML, ICLR, or similar
- You have deep knowledge of machine learning, with experience in areas such as recommender systems, generative models, or representation learning
- You are experienced in designing experiments and working with real-world datasets to validate research ideas
- You care about advancing understanding of user behavior and improving experiences across music and talk content
- You bring curiosity, creativity, and a thoughtful approach to solving complex, open-ended problems
- You value collaboration and actively seek diverse perspectives in your work
Where You'll Be
- This role is based in New York City or Boston
- We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home
The United States base range for this position is $169,157–$241,653 USD, 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, paid flexible holidays, and paid sick leave. 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.
Similar Jobs
AdTech • Digital Media • Information Technology • Other
The role involves developing advanced machine learning and deep learning models for personalization and user modeling in large-scale systems, collaborating with teams, and driving business impact through innovative algorithms.
Top Skills:
HuggingfaceNumpyPandasPythonPyTorchTensorFlow
Artificial Intelligence • Healthtech • Information Technology • Software • Conversational AI • Generative AI • Automation
As a Senior Software Engineer, you will design and build key features for Collectly's AI-driven revenue cycle management solutions, collaborating closely with teams to ensure quality and scalability.
Top Skills:
FastapiFlaskPythonReact
Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
The Security Operations Analyst reviews security events, investigates malicious activity, leads incident responses, and documents findings while participating in threat hunting activities.
Top Skills:
LinuxmacOSSecurity Information And Event Management (Siem)SplunkWindows
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
