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Senior Machine Learning Engineer – Personalization
SpotifySenior Machine Learning Engineer developing innovative audio experiences at Spotify. Collaborating across teams to enhance listening through AI and machine learning.
Posted 5/6/2026full-timeRemote • New York • 🇺🇸 United StatesSenior💰 $184,050 - $262,928 per yearWebsite
Tech Stack
Tools & technologiesApacheAWSCloudGoogle Cloud PlatformSpark
About the role
Key responsibilities & impact- Design, build, evaluate, and ship agentic based features and interactive experiences to bring our products to the next level
- Collaborate with cross functional teams spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and useful ways
- Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users
- Promote and role-model best practices of ML systems development, testing, evaluation both inside the team as well as throughout the organization
- Actively contributed to a strong community of machine learning practitioners at Spotify
Requirements
What you’ll need- Strong background in machine learning, natural language processing, and generative AI, with experience in applying theory to develop real-world applications
- Hands-on expertise with implementing end-to-end production ML systems at scale. Experience with production LLM scale based systems is a plus
- Experience with incorporating human feedback to improve LLM based systems using technicals like DPO, KTO, and reinforcement fine-tuning
- Experience with designing end-to-end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams
- Experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS
Benefits
Comp & perks- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
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Hard Skills & Tools
machine learningnatural language processinggenerative AIend-to-end production ML systemsproduction LLM systemsDPOKTOreinforcement fine-tuningtech specs designmodular architectures
Soft Skills
collaborationcommunity contributionbest practices promotion