Machine Learning Engineer Jobs

Spotify

Location:
United States, New York or Boston

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

138250.00 - 197500.00 USD / Year

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Job Description:

The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly and Daily Mix. The Context team’s mission is to own and innovate on contextual story telling to enhance the listening experience. Using a mixture of human written content and LLMs, we strive to provide depth and connection for all listeners. We are looking for a Machine Learning Engineer to join our team to build and improve our storytelling capabilities.

Job Responsibility:

Design, build, evaluate, and ship LLM based solutions that tell stories about our content and our users
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, etc., both inside the team as well as throughout the organization
Be part of an active group of machine learning practitioners

Requirements:

An experienced ML practitioner motivated to work on complex real-world problems in a fast-paced and collaborative environment
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

Nice to have:

Experience with production LLM scale based systems is a plus

What we offer:

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
Extensive learning opportunities, through our dedicated team, GreenHouse
Flexible share incentives letting you choose how you share in our success
Global parental leave, six months off - for all new parents
All The Feels, our employee assistance program and self-care hub
Flexible public holidays, swap days off according to your values and beliefs

Additional Information:

Job Posted:
December 12, 2025

Employment Type:

Fulltime

Work Type:

Remote work

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Machine Learning Engineer