Spotify
Senior Machine Learning Engineer, Personalization
TLDR
Join the Personalization team to design and implement adaptive machine learning solutions enhancing the listening experience for millions of Spotify users.
What You'll Do
Design, build, evaluate, and ship LLM-based solutions that give users more adaptive control over their listening experience
Work on prompted playlist experiences with a focus on music fulfillment and session generation
Collaborate with cross-functional partners across user research, design, data science, product, and engineering
Prototype new ML approaches and bring them into production at global scale
Build and improve systems that connect artists and fans in personalized and meaningful ways
Contribute to the development of scalable ML systems serving hundreds of millions of users
Promote best practices in ML system design, testing, evaluation, and deployment across the organization
Actively contribute to a strong community of machine learning practitioners at Spotify
Who You Are
You are experienced in machine learning and enjoy solving complex real-world problems in collaborative environments
You have a strong background in machine learning, natural language processing, and generative AI
You are comfortable applying theory to build real-world, production-ready applications
You have hands-on experience building and deploying end-to-end ML systems at scale
You are familiar with LLM-based systems and techniques for improving them using human feedback such as reinforcement fine-tuning, DPO, or similar approaches
You have experience designing modular ML architectures and writing technical specifications in partnership with product teams
You are experienced with large-scale distributed data processing tools such as Apache Beam or Apache Spark
You have worked with cloud platforms like GCP or AWS
Where You'll Be
This role is based in New York
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
The United States base range for this position is $184,050 $262,928 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.
Spotify is an audio streaming platform that delivers an extensive catalog of music, podcasts, and audiobooks, catering to hundreds of millions of users globally. It empowers artists by providing them with the means to monetize their creativity while offering fans unparalleled access to a diverse array of content, all driven by a passion for sound.
- Founded
- Founded 2006
- Employees
- 500+ employees
- Industry
- Media
- Total raised
- $2.6B raised
Senior Machine Learning Engineer