What is the salary for ML Engineer — Personalization at Spotify?

Listed range: $150k – $205k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.

Where is the ML Engineer — Personalization role based?

New York, NY, New York (New York). Work mode: Hybrid.

How do I apply to Spotify?

Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0019. Process: Recruiter screen → Technical interview → Team conversation → Offer.

Is Spotify hiring other AI roles?

Spotify (Audio & ML) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

ML Engineer — Personalization

Spotify· New York, NY· Ref. EXP-2026-0019 5 (1 reviews)

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Salary: $150k – $205k / year
Type: Full-time
Location: New York, NY · New York (New York) · Hybrid
Valid through: 11/3/2026

Additional details

Posted: Posted 1 day ago
Applications: 29; on Ganloss
Experience: Mid · 3+ years
Education: BS/MS CS, ML, or equivalent experience
Region: New York
Team: Spotify — AI team
Company size: 9000+
Founded: 2006

Job description

Spotify is hiring a ML Engineer — Personalization (Full-time) hybrid. This machine learning engineer role is part of the AI hiring market in New York (New York). Home feed and discovery ranking models for Spotify listeners worldwide. Listed compensation: $150k – $205k / year. Stack: Recommendations, ML, NYC, Python.

Machine Learning Engineer profiles are in high demand in New York: New York combines fintech, media, and enterprise AI with strong demand for applied ML, NLP, and MLOps at banks, ad tech, and product companies.…

The team

Spotify — AI team

Responsibilities

Deliver production ML/LLM capabilities with measurable quality bars
Partner with product and infra on roadmap and reliability
Document evals, monitoring, and rollout practices

Requirements

3+ years shipping ML, LLM, or data systems in production
Strong Python or TypeScript and clear written communication
Comfort with responsible AI and operational excellence

Tech stack

RecommendationsMLNYCPython

Benefits

Health, dental, vision

401(k) match

Equity

Learning budget

Flexible PTO

Hiring process

1Recruiter screen
2Technical interview
3Team conversation
4Offer

Experience: Mid · 3+ years · Education: BS/MS CS, ML, or equivalent experience

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FAQ — ML Engineer — Personalization

What is the salary for ML Engineer — Personalization at Spotify?: Listed range: $150k – $205k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.
Where is the ML Engineer — Personalization role based?: New York, NY, New York (New York). Work mode: Hybrid.
How do I apply to Spotify?: Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0019. Process: Recruiter screen → Technical interview → Team conversation → Offer.
Is Spotify hiring other AI roles?: Spotify (Audio & ML) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

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