Join Spotify's Personalization team to enhance music recommendations using cutting-edge ML and AI technologies, collaborating across teams and prototyping new features.
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.
You’ll join the Horizon Product Area within the Sessions Studio, part of Spotify’s Personalization Mission. This team focuses on inventing and evolving new listening experiences powered by emerging technologies. From AI DJ to promptable playlists and generated podcasts, we’re exploring how agentic systems and generative AI can reshape how people interact with audio. You’ll work at the intersection of product innovation and cutting-edge machine learning to bring entirely new experiences to life for millions of listeners.
What You'll Do
- Design, build, evaluate, and ship agentic based features and interactive experiences to bring our products to the next level
- Collaborate with cross functional teams 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 useful ways
- Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users
- Promote and role-model best practices of ML systems development, testing, evaluation both inside the team as well as throughout the organization
- Actively contributed to a strong community of machine learning practitioners at Spotify
Who You Are
- Strong background in machine learning, natural language processing, and generative AI, with experience in applying theory to develop real-world applications
- Hands-on expertise with implementing end-to-end production ML systems at scale. Experience with production LLM scale based systems is a plus
- Experience with incorporating human feedback to improve LLM based systems using technicals like DPO, KTO, and reinforcement fine-tuning
- Experience with designing end-to-end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams
- Experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS
Where You'll Be
- We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location
- This team operates within the Eastern Standard time zone for collaboration
Spotify New York, New York, USA Office
4 World Trade Center, New York, NY, United States, 10007
Similar Jobs
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
The role involves orchestrating global operations for the Agentic Technologists team, managing communications, enhancing market influence, and driving team efficiency.
Top Skills:
AICloud ComputingEnterprise SoftwareMl
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
The ServiceNow ITAM Architect leads the implementation and management of IT asset management on the ServiceNow platform, ensuring solutions align with governance standards while optimizing processes and user experience. Responsibilities include delivering ITAM capabilities, collaborating with cross-functional teams, and driving platform enhancements.
Top Skills:
AIAngularjsIntegrationhubItamItomJavaScriptMid ServerPythonRest ApisServicenow
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
The Solutions Engineer at SailPoint will support sales efforts by demonstrating technical expertise in Identity Security, conducting demos, and collaborating with various teams to articulate product value and address customer needs.
Top Skills:
AWSAzureGCPJavaJSONLdapSQLXML
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
