See all roles

Senior Machine Learning Engineer, GenRecs, Personalization

Work from home Full-time role Hiring

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.

Where You’ll Be (choose what is best based on the role / team!)

We offer you the 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.

What You'll Do

  • Be a technical leader within the team you work with and within Spotify in general
  • Coordinate technical projects across teams within Spotify
  • Facilitate collaboration with other engineers, product owners, and designers to solve interesting and challenging problems for delivering various media worldwide
  • Be a valued member of an autonomous, cross-functional agile team
  • Architect, design, develop, and deploy ML models
  • Be a leader in Spotify’s ML community and work collaboratively and efficiently on existing platforms and systems.
  • Who You Are

  • You have experience being a technical leader or mentorExperience training, improving and operating internet-scale ML models
  • You have a deep understanding of ML systems and infrastructureYou have experience in Tensorflow or PyTorch
  • At least, some hands on experience with technologies such as Kubernetes or Ray
  • Experience troubleshooting model training and deployment across hardware ecosystems that mix CPU and GPU, including distributed multi-node model training
  • Experience with model compression (quantization, weight clustering, pruning) and model computational efficiency optimization (layer fusing, hardware specific optimizations)
  • Experience optimizing model inference for different GPU types
  • You have experience with recommender systems and user behavior modeling, experience with generative models is a plus
  • Experience with model fine-tuning techniques such as quantized low-rank adaptation (QLoRA) is a plus
  • Where You'll Be

  • We offer you the 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
  • Additional Information

    The United States base range for this position is $176,166 $251,666 plus equity. The benefits available for this position include 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. These ranges may be modified in the future.

    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 in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

    At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.

    Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

    Apply to this Job

    You might like

    Senior Software Engineer, Perception Applications

    Work from home Full-time role

    Software Engineer, New Grad (2026)

    Work from home Full-time role

    Technical Product Marketing Manager

    Work from home Full-time role

    Enterprise Account Executive

    Work from home Full-time role

    Digital PR Specialist

    Work from home Full-time role

    Director & Global Process Owner – Procure to Pay

    Work from home Full-time role

    SALES ASSOCIATE – Amazon Store

    Work from home Full-time role

    Media Research Specialist

    Work from home Full-time role

    Counsel, Regulatory and Privacy

    Work from home Full-time role

    Tech Lead, Web Core Product & Chrome Extension

    Work from home Full-time role

    Join Today: Technology Project Manager – Work From Home

    Work from home Full-time role

    Sr. Manager of Data Analytics & Reporting

    Work from home Full-time role

    Experienced Full Stack Remote Data Entry Specialist – Flexible Work from Home Opportunity with blithequark

    Work from home Full-time role

    Outside Sales Representative

    Work from home Full-time role

    Regulatory Affairs Consultant- Defined Term (Remote, US)

    Work from home Full-time role

    Home Loan Consultant - TAS (Remote)

    Work from home Full-time role

    Wayfair Careers Remote From Home Job $20 An Hour

    Work from home Full-time role

    Account Manager

    Work from home Full-time role

    Experienced Customer Service and Technical Support Professionals Wanted for Amazon's Work-from-Home Opportunities

    Work from home Full-time role

    Senior Data Entry Specialist - Remote Opportunities at arenaflex

    Work from home Full-time role