Synced from Lever · Sep 24

Machine Learning Engineer

SpotifyNew York, NYPosted Sep 24, 2026

Machine Learning EngineerRemoteMid

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Mirrored from Spotify's own Lever careers system · refreshed hourly

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Sep 24

Posted

Lever

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Job description

PLEASE READ BEFORE APPLYING

This posting is intended specifically for candidates who are participating in RecSys and is not a general application for open roles at Spotify.

When applying, you’ll be asked to select how you engaged with us at the conference. Please answer this question accurately. Applications indicating conference participation or engagement that did not occur may be removed from consideration.

If you are interested in opportunities at Spotify but are not attending RecSys please visit our Life at Spotify page to explore current openings.

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Thanks for connecting with the Spotify team at the conference! This posting is a way for us to stay in touch and keep the conversation going.

At Spotify, machine learning and AI are at the heart of how we personalize music, podcasts, and audiobooks for hundreds of millions of listeners around the world. Our ML teams tackle problems across recommendation systems, search and ranking, natural language understanding, generative AI, audio analysis, and more — and we're always looking for talented researchers and engineers who want to do impactful work at scale.

By applying here, you're expressing interest in ML/AI opportunities at Spotify. This isn't tied to a specific role or team — our team will follow up to explore the right fit based on your background, interests, and experience.

Spotify is an equal opportunity employer. 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. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.

View original posting on Lever

What applying to Spotify usually looks like

Based on publicly available information, candidates applying through lever can generally expect a structured but streamlined process, as Spotify uses this ATS to manage applications across a wide range of roles, from engineering and product to legal and finance. Applicants typically begin with an online application and resume submission, followed by an initial screening that may be conducted by a recruiter or hiring coordinator. From there, the process may include multiple stages such as phone or video interviews, skills assessments, and panel discussions with team members or hiring managers, depending on the role's seniority and function. Communication is often handled through automated updates within the platform, though response times vary. Candidates may also be asked to complete take-home assignments or case studies, particularly for technical, analytical, or strategy-focused positions.

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