Live · 10,427 open AI roles

AI Jobs

High-signal AI engineering roles, refreshed daily across infra, agents, ML, and product teams.

Updated daily Verified employers Remote · USA · EMEA

Explore AI roles · Updated daily

Search curated engineering roles across AI infrastructure, agents, machine learning, and product teams.

Keyboard friendly Save and share roles

The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We...

Engineer Machine Learning Aws Java

$138k - $197k · Senior Fully remote

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to...

Engineer Machine Learning Aws Gcp

$61k* · Senior Fully remote

Spotify’s Surfaces Foundation team builds the systems that power how personalized recommendations show up for hundred...

Executive Machine Learning

$281k - $401k · Senior Fully remote

The Music Mission team owns Spotify’s end to end proposition for music creators and the experiences they create for f...

Executive Engineer Ads Senior

$203k - $290k* · Senior Fully remote

In the Music Mission, we build the tools and services that enable creators to express themselves, promote their work,...

Backend Engineer Music Java

$132k - $189k · Senior Fully remote

We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner inte...

Engineer Machine Learning

$61k* · Senior Fully remote

We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner inte...

Engineer Machine Learning

$227k - $324k* · Senior Fully remote

We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner inte...

Engineer Machine Learning Tensorflow Pytorch

$61k* · Senior Fully remote

We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner inte...

Engineer Machine Learning Senior Tensorflow

$61k* · Senior Fully remote

We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner inte...

Engineer Machine Learning Senior Scala

$61k* · Senior Fully remote

We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner inte...

Research Engineer Senior Python

$61k* · Senior Fully remote

We’re looking for a Data Scientist to join the band. You’ll help us expand detection and mitigation methods against a...

Scientist Security Python

$61k - $87k* · Senior Fully remote

Spotify’s mission is to unlock the potential of human creativity by giving a million creative artists the opportunity...

Data Science Music Python

$144k - $206k · Senior Fully remote

Sell what you love. For us and millions of users across the globe, that’s Spotify. Join the Sales team and you’ll bui...

Growth Analyst Senior

$61k* · Senior Fully remote

Sell what you love. For us and millions of users across the globe, that’s Spotify. Join the Sales team and you’ll bui...

Gtm Analyst Senior

$61k* · Senior Fully remote

Ú

Přehled Research Scientist (or Postdoctoral Researcher) for ONIM‑RAM The Nuclear Physics Institute of the Czech Acade...

Fulltime Remote Ai

Fully remote

G

WE DEVELOP PEOPLE WHO DEVELOP TECHNOLOGY And we want to develop you! At Growin people always come first. Why? Because...

Remote Data Science Ai

$511k* · Senior Fully remote

I

Intuition Machines uses AI/ML to build enterprise security products. We apply our research to systems that serve hund...

Remote Machine Learning Ai

Fully remote

We are looking for a Biology Research Scientist to join our team to train AI models. You will measure the progress of...

Ai

$12k* · Senior Fully remote

We are looking for a Research Scientist (Biology) to join our team to train AI models. You will measure the progress ...

Ai

$12k* · Senior Fully remote

Selected role

Machine Learning Engineer, Personalization, Minesweeper

Spotify New York, NY

$138k - $197k Senior Full-time

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, podcasts, and audiobooks better than anyone else so that we can make great recommendations to every individual person 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 “Discover Weekly” and “Daily Mix.”

Personalization’s Minesweeper squad produces Human Understandable Language Knowledge to enrich music and talk content understanding. We use AI and ML techniques, including Large Language Models, to understand music, podcasts and audiobooks, building reliable, scalable systems to distribute that knowledge to Spotify internal teams, users, and creators. We are looking for a Machine Learning Engineer to join our team and help build the future of music, podcast and audiobook listening experiences for millions of listeners at Spotify. This is a unique opportunity to help develop and shape Spotify content enrichment, and recommendations. You’ll grow your skills in ML engineering at scale, work with a cross-functional team of Data Engineers, Backend Engineers, and researchers, and join a motivated and supportive team.

What You'll Do

Utilize in-house and 3rd party LLMs to solve language understanding problems
Employ techniques such as fine-tuning and RAG to improve models
Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development
Help drive optimization, testing, and tooling to improve quality of our content enrichment assets
Collaborate with cross-functional teams of MLEs, data and backend engineers, and other stakeholders including tech research, data science, and product to develop new features and technologies
Be a participant in our AI Foundation’s ML community and work collaboratively and efficiently within our existing platforms and systems Perform data analysis to establish baselines and inform product decisions
Stay up-to-date on the latest machine learning algorithms and techniques

Who You Are

You have a strong background in machine learning, especially experience with Large Language Models
You have professional experience in applied machine learning
Extensive experience working in a product and data-driven environment (Python, Scala, Java, SQL, with Python experience required) and cloud platforms (GCP or AWS)
You have some hands-on experience implementing or prototyping machine learning systems at scale
You have experience architecting data pipelines and are self-sufficient in getting the data you need to build and evaluate models, using tools like Dataflow, Apache Beam, or Spark
You care about agile software processes, data-driven development, reliability, and disciplined experimentation
You have experience and passion for fostering collaborative teams
Experience with PyTorch, TensorFlow, and/or other scalable Machine learning frameworks. Experience with Ray or TFX is a plus
Bonus if you have experience with architecting near real time pipelines

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.

The United States base range for this position is $138,250- $197,500 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice

Showing 2661–2680 of 10,427 AI roles

1 … 132 133 135 136 522