Spotify

Spotify

Senior Machine Learning Engineer, Personalization, Music Understanding

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

Sponsorship not specified$184k-$263kDetected 94 days ago
AWSGCPCloud PlatformsMachine LearningSparkData ScienceNLPLLMsUX ResearchResearch

Stay score

odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level III · 3×
Level I$109,8451 entry
Level II$137,7172 entries
Level III$165,5893 entries
Level IV$193,4614 entries

$9,411 more$193,461 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $193,461 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • 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.

Responsibilities

  • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses.
  • This team collaborates closely with product, design, user research, and data science to build personalized, high-impact features used by hundreds of millions of listeners worldwide.

Requirements

  • 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.

Compensation

  • $184k-$263k

Benefits

  • You'll join a team working at the intersection of machine learning, music understanding, and user experience.
  • 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.

Company info

  • At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone.
  • Our platform is for everyone, and so is our workplace.

Equal opportunity

  • Spotify is an equal opportunity employer.
  • equal opportunity employer.

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