Senior Machine Learning Engineer, Personalization at Spotify | New York, United States (Remote)
Company/Recruiter: Spotify
Opportunity snapshot
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Opportunity type
Job
Location
United States of America, New York
Work arrangement
Remote
Compensation
Not disclosed
Closing date
Feb 28, 2027
Employer
Spotify
Prepare your application
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MorrJobs preparation notes
Role shape: Responsibility-led role with a detailed skills profile.
Evidence to prepare: Connect your CV or portfolio to Proven experience in machine learning engineering.; Strong proficiency in relevant programming languages and ML frameworks.. Use one concrete example that shows you can Design, implement, and maintain machine learning models for content personalization..
Check before applying: Confirm that United States of America, New York and the stated work arrangement suit you, check the closing date of Feb 28, 2027.
- Apply before Feb 28, 2027.
- The application route is available to verified Talent accounts.
- Compensation is not disclosed in the listing; confirm it during the employer's process.
Job Overview
The Senior Machine Learning Engineer will play a pivotal role in advancing Spotify's personalization capabilities. This position involves developing and deploying sophisticated machine learning models that enhance user engagement and satisfaction by curating relevant content.Key Responsibilities
- Design, implement, and maintain machine learning models for content personalization.
- Collaborate with cross-functional teams to translate product requirements into technical solutions.
- Analyze large datasets to identify trends and opportunities for feature improvement.
- Optimize model performance and scalability for a global user base.
- Stay abreast of the latest advancements in machine learning and recommend their adoption.
Requirements
- Proven experience in machine learning engineering.
- Strong proficiency in relevant programming languages and ML frameworks.
- Experience with large-scale data processing and distributed systems.
- Excellent problem-solving and analytical skills.
- A strong understanding of the music and podcast industry is a plus.
What We Offer
- Opportunity to work on impactful features used by millions worldwide.
- A collaborative and innovative work environment.
- Professional development and growth opportunities.
- Competitive compensation and benefits package.
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