Role Overview
Spotify is hiring a Senior Machine Learning Engineer, Personalization, Rewards. This is a full-time remote role, with the team based in New York. Part of Spotify's Data Science hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
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). We drive massive impact across all recommendations discovery surfaces by moving beyond simple clicks to model and optimize for true long-term user satisfaction. 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.
We are looking for a Machine Learning Engineer to make impactful changes to our recommendations and discovery algorithms. 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.
Frequently Asked Questions
How do I apply for the Senior Machine Learning Engineer, Personalization, Rewards position at Spotify?
Use the Apply button above to submit your application directly to Spotify. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Is the Senior Machine Learning Engineer, Personalization, Rewards role at Spotify remote?
Yes. This is a remote role. The team is based in New York, but the position itself does not require relocating to that office.
What does a Senior Machine Learning Engineer, Personalization, Rewards at Spotify earn?
Spotify has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Senior Machine Learning Engineer, Personalization, Rewards role at Spotify posted?
This role was posted on May 12, 2026 (40 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
How much experience does the Senior Machine Learning Engineer, Personalization, Rewards role at Spotify require?
This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Spotify lists their specific requirements in the description below, so review the must-have qualifications closely before applying.
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