Spotify
Overview
Join to apply for the
Machine Learning Engineer
role at
Spotify . The Personalization (PZN) team aims to make deciding what to play next easier and more enjoyable for every listener. We seek to understand the world of music, podcasts and audiobooks to make great recommendations for each individual. Our products include destinations like Home and Search, as well as playlists such as Made For You, Discover Weekly and Daily Mix. The Context team’s mission is to own and innovate contextual storytelling to enhance the listening experience, using a mix of human-written content and LLMs to provide depth and connection for all listeners. We are looking for a Machine Learning Engineer to build and improve our storytelling capabilities. What You'll Do
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., inside the team and throughout the organization Be part of an active group of machine learning practitioners Who You Are
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 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 techniques 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 Where You'll Be
We offer flexibility to work where you work best. For this role, you can be within the North America region as long as we have a work location. This team operates within the Eastern Standard Time zone for collaboration. Compensation and Benefits
The United States base range for this position is $138,250 - $197,500 plus equity. Benefits include health insurance, six months paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, and paid sick leave. These ranges may be modified in the future. Equal Opportunity
Spotify is an equal opportunity employer. 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. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified, the more we will all thrive, contribute, and be forward-thinking. If you need accommodations at any stage of the application or interview process, please let us know—we’re here to support you. About Spotify
Spotify transformed music listening since 2008. Our mission is to unlock the potential of human creativity by giving a million artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. We are the world's most popular audio streaming subscription service.
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Join to apply for the
Machine Learning Engineer
role at
Spotify . The Personalization (PZN) team aims to make deciding what to play next easier and more enjoyable for every listener. We seek to understand the world of music, podcasts and audiobooks to make great recommendations for each individual. Our products include destinations like Home and Search, as well as playlists such as Made For You, Discover Weekly and Daily Mix. The Context team’s mission is to own and innovate contextual storytelling to enhance the listening experience, using a mix of human-written content and LLMs to provide depth and connection for all listeners. We are looking for a Machine Learning Engineer to build and improve our storytelling capabilities. What You'll Do
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., inside the team and throughout the organization Be part of an active group of machine learning practitioners Who You Are
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 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 techniques 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 Where You'll Be
We offer flexibility to work where you work best. For this role, you can be within the North America region as long as we have a work location. This team operates within the Eastern Standard Time zone for collaboration. Compensation and Benefits
The United States base range for this position is $138,250 - $197,500 plus equity. Benefits include health insurance, six months paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, and paid sick leave. These ranges may be modified in the future. Equal Opportunity
Spotify is an equal opportunity employer. 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. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified, the more we will all thrive, contribute, and be forward-thinking. If you need accommodations at any stage of the application or interview process, please let us know—we’re here to support you. About Spotify
Spotify transformed music listening since 2008. Our mission is to unlock the potential of human creativity by giving a million artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. We are the world's most popular audio streaming subscription service.
#J-18808-Ljbffr