Machine Learning Engineering Manager - LLM Serving & Infrastructure

This a Full Remote job, the offer is available from: Massachusetts (USA), New York (USA) The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener.

We seek to understand the world of music and podcasts 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, original playlists like Discover Weekly and Daylist, and are at the forefront of new innovations like AI DJ and AI Playlists.

Generative AI is transforming Spotify’s product capabilities and technical architecture.

Generative recommender systems, agent frameworks, and LLMs present huge opportunities for our products to serve more user needs and use cases and unlock richer understanding of our content and users.

This ML Manager will focus on the serving of a Unified Recommender model, based on open-weight LLM and transformer technology.

You will collaborate with a diverse team to establish and implement the machine learning plan for the product domain, developing innovative recommendations and agent interactions.

You will work as a technology leader, managing a team and influencing peers.

You will collaborate with internal customers and platform teams, offering the opportunity to profoundly build the direction of the entire Spotify experience.

Join us and you’ll keep millions of users listening and engaging with our platform every day! What You’ll Do• Lead a high-performing engineering team to develop, build, and deploy a high-scale, low-latency LLM Serving Infrastructure.

Who You Are• 5+ years of experience in software or machine learning engineering, with 2+ years of experience managing an engineering team.

Where You’ll Be• This role is based in New York or Boston.

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.

This offer from "Spotify" has been enriched by Jobgether.com and got a 82% flex score.