Senior Machine Learning Engineer, Personalization, Rewards

Spotify

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New York, NY First seen 2 days, 4 hours ago Last seen 4 hours, 30 minutes ago Lever

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Job Description

AI Summary

• Design and develop machine learning reward signals for Spotify's recommendation systems, including prototyping, building pipelines, and scaling models to production • Lead cross-functional collaborations to integrate and A/B test personalization signals across recommendation and discovery features serving hundreds of millions of users • Require strong reinforcement learning expertise with specific experience in RL-based recommendations, plus proficiency in statistics, optimization, transformers, and generative AI/LLMs • Promote ML best practices and development standards across the personalization organization while mentoring team members • Based in New York with hybrid flexibility, allowing remote work with occasional in-person meetings

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. The Personalization team at Spotify makes deciding what to listen to next feel effortless for hundreds of millions of users — from Discover Weekly to our newest AI-powered experiences. We’re now building conversational AI capabilities that let users interact with Spotify in natural language.

You’ll join a squad working at the core of this space, shaping how users discover and engage with audio through intelligent, responsive systems. What You'll Do Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development. Lead collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation and discovery systems.

Promote and role-model best practices of ML systems development, testing, and evaluation throughout the organization. In your first 6 months, you will be responsible for ML development: prototyping models, building pipelines, productizing/scaling models, and launching A/B tests for personalized generative recommendations at Spotify. Who You Are You have a strong background in machine learning and enjoy applying theory to develop real-world applications.

Reinforcement Learning (RL) expertise is key, and experience in RL for recommendations is a must have. Expertise in statistics and optimization, especially in sequential models, transformers, generative AI, large language models (LLMs are a plus), and relevant fine-tuning processes. Where You'll Be This role is based in New York 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

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Job Information

Company:
Spotify
Location:
New York, NY
Job Type:
Full-Time
Experience Level:
Senior
Source:
Lever
Status:
Active

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