Spotify

Senior Machine Learning Engineer, Personalization, Rewards

New York, New York, USA · Senior · full-time

Sponsorship not specified$184k-$263kDetected 49 days ago

Machine LearningNLPLLMsStatisticsA/B TestingResearch

About the role

The Rewards team in Personalization (PZN) is defining the next generation of large-scale personalization at Spotify by pioneering novel Reinforcement Learning (RL) methods for Large Language Models (LLMs).
Promote and role-model best practices of ML systems development, testing, and evaluation throughout the organization.
These ranges may be modified in the future.

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.
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.
We drive massive impact across all recommendations discovery surfaces by moving beyond simple clicks to model and optimize for true long-term user satisfaction.
prototyping models, building pipelines, productizing/scaling models, and launching A/B tests for personalized generative recommendations at Spotify.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses.

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.

Expertise in statistics and optimization, especially in sequential models, transformers, generative AI, large language models (LLMs are a plus), and relevant fine-tuning processes.

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.
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 $184,050- $262,928 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, paid sick leave.

Our core mission is to bridge discovery with lasting listening habits by developing and deploying sophisticated, mid-term behavioral reward signals-such as retention and habit formation metrics-that directly shape the LLM-powered recommendation experience.
As an integral part of the squad, you will collaborate with research scientists, data scientists, and other engineers across PZN in prototyping and productizing state-of-the-art ML at the intersection of recommendations and long-term user satisfaction.
Where You'll Be This role is based in New York We offer you the flexibility to work where you work best!
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone.

This listing is sourced directly from Spotify's careers page and normalized into a canonical job model.