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The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music and podcasts better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search, original playlists like Discover Weekly and Daylist, and are at the forefront of new innovations like AI DJ and AI Playlists.
Generative AI is transforming Spotify’s product capabilities and technical architecture. Generative recommender systems, agent frameworks, and LLMs present huge opportunities for our products to serve more user needs and use cases and unlock richer understanding of our content and users.
This Staff Backend Engineer will focus on recommender systems backend and infra at the intersection of generative recommenders and foundational understanding of user taste across music and talk content formats. You will work closely with a cross-functional team to define and execute the backend technical strategy for the product area, serving the next generation of Spotify content and user representations and the technical architecture to support it.
Join us and you’ll keep millions of users listening to great recommendations every day.
This is a staff-level individual contributor role, offering the opportunity to shape the direction of Home loading paradigms, page serving, content filtering and content storage.
What You\'ll Do
- Lead cross-functional collaborations between Experience and PZN engineering teams to advance system architecture for Foundational LLMs.
- Partner closely with teams to translate their needs into foundational systems that enable each step of the core content lifecycle.
- Lean into reliability and latency opportunities for improvement inend-to-end stack.
- Mentor backend engineers and influence technical strategy by setting high standards in methodology, reproducibility, and collaboration.
- Shape the long-term system architecture for Home by working very closely with Home Construction teams, Home Content teams and the CoreX.
- Prototype new approaches and productionize solutions for Home experiences.
- Contribute to defining backend technical strategy at the intersection of generative recommenders and foundational user modeling
- Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new tech that connect fans and artists in personalized, meaningful ways
- Provide expert technical leadership and direction to accelerate development, ensure scalability and push the boundaries of current methods
Who You Are
- You have extensive experience in designing system architectures that include machine learning models as key components in enabling the product experiences.
- You have a strong bias to action by building MVPs, prototypes and illustrating ideas through concise documents to drive initiatives forward.
- Team-first approach with developed techniques to ensure teams are happy, motivated, and productive
- 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
- Accountable to senior tech leadership for meeting our product and technology objectives and managing expectations if those are at risk
- Demonstrated success leading technical initiatives and shaping strategic directions through cross-functional collaboration.
- Excellent communication skills and stakeholder management abilities; comfortable operating at the intersection of science and engineering
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 Standard time zone for collaboration.
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