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HomeCompaniesSpotifyMachine Learning Engineer, Personalization, Samba

Machine Learning Engineer, Personalization, Samba

Spotify · New York, NY · Remote · Active · Lever

Job facts

FieldValue
CompanySpotify
TitleMachine Learning Engineer, Personalization, Samba
Normalized title-
Department / teamEngineering / Personalization
LocationNew York, NY, United States
Work modelRemote / Remote
Employment typePermanent
Salary-
Statusactive
ATS providerLever
Posted / first seen2026-04-14 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Spotify.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in New York.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanySpotify
Source8f76458c-d40f-4324-bb14-bb757d1b7058
ATS providerLever

Description

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. Samba sits at the heart of Spotify’s personalization engine, powering experiences like autoplay, radio, and personalized mixes. We work on complex sequencing and optimization problems—balancing what users love with how Spotify supports creators and the business. Our team blends machine learning, backend engineering, and data expertise, and collaborates across North America and Europe to deliver impactful, real-time personalization at scale. The United States base range for this position is $148,901- $212,716 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. These ranges may be modified in the future. 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. What You'll Do Design and build machine learning systems that optimize ranking and sequencing across personalized surfaces Develop multi-objective optimization strategies that balance user satisfaction with business outcomes Collaborate closely with cross-functional partners including product, data science, and engineering teams to align on goals, share context, and deliver impactful solutions Work across ML, backend, and data layers to bring models into production Contribute to scalable infrastructure supporting high-volume user interactions Run experiments and use insights to continuously improve performance Help shape technical direction and raise the bar for engineering excellence within the team Who You Are You have 5+ years of experience in machine learning, data, or backend engineering You are experienced with production-grade systems and scalable architectures You have worked on recommendation systems, ranking, or optimization problems You bring a T-shaped skillset across ML, data, and backend domains You are comfortable navigating ambiguity and solving complex problems You care about user experience and measurable impact You enjoy collaborating across disciplines and geographies 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.

Full job record

Job IDc8e039268b3eb3fa40ade9757770c4110a2db1e3
Org ID72fe3b06-0d08-4f7d-9dfd-beedeeda0a25
Source ID8f76458c-d40f-4324-bb14-bb757d1b7058
Board ID8f76458c-d40f-4324-bb14-bb757d1b7058
Providerlever
Provider Job Key7597d3d7-58d2-41b2-9f85-911d95c2c739
TitleMachine Learning Engineer, Personalization, Samba
Normalized Title
Statusactive
Activeyes
Location TextNew York, NY
DepartmentEngineering
TeamPersonalization
Employment TypePermanent
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionNY
CityNew York
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.lever.co/spotify/7597d3d7-58d2-41b2-9f85-911d95c2c739
Apply URLhttps://jobs.lever.co/spotify/7597d3d7-58d2-41b2-9f85-911d95c2c739/apply
First Seen At2026-05-29 07:00:52Z
Last Seen At2026-06-06 07:56:15Z
Last Checked At2026-06-06 07:56:15Z
Last Changed At2026-05-29 07:00:52Z
Inactive At
Source Posted At2026-04-14 13:22:22Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=spotify/date=2026-06-06/2026-06-06T07-56-15-191Z-c1c6a12102ce2af96a610c7ff3af0aa24b6d805515e5424bebb316f7d5eab721.json
Event Fields
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  "active_status": "active"
}
Parsed Structured
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Extensions
{}
Native Structured
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  "country": "US",
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