Explore AI roles · Updated daily

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

Keyboard friendly Save and share roles

Research Scientist - Music New York, NY Data and Analytics – Music / Permanent / Remote Apply for this job We are see...

Research Scientist Music Pytorch

$132k - $188k · Senior Fully remote

View details

Principal Research Scientist - Music New York, NY Data and Analytics – Music / Permanent / Remote Apply for this job ...

Research Scientist Music Executive

$252k - $360k · Senior Fully remote

View details

GenAI and LLM Lead

Fulltime

Fully remote

View details

Research Scientist, Frontier AI Safety and Responsibility fulltime

Fulltime

Fully remote

View details

Principal Machine Learning Engineer – Model Training and Customization Job Summary Come be a part of Red Hat's charge...

Engineer Machine Learning Executive Education

$189k - $312k · Senior Fully remote

View details

The pay range is $95,000.00 - $171,000.00 Pay is based on several factors which vary based on position. These include...

Python Fulltime

$95k* · Senior Fully remote

View details

User Researcher - Music New York, NY Design and User Experience – Music / Permanent / Remote Apply for this job The M...

Research Music Fulltime

$108k - $154k · Senior Fully remote

View details

Software Engineer, New Grad - Production Infrastructure New York, NY Dev / Full-time / Hybrid Apply for this job A Wo...

Infrastructure Engineer Intern Entry Level

$145k - $155k · Senior Fully remote

View details

Software Engineer, Internship - Production Infrastructure New York, NY Dev / Internship / On-site Apply for this job ...

Infrastructure Engineer Intern Entry Level

$126k* · Senior Fully remote

View details

Applied AI, Forward Deployed Machine Learning Engineer- Singapore Singapore Solutions / Full-time / On-site Apply for...

Ai Engineer Machine Learning Pytorch

$94k - $105k* · Senior Fully remote

View details

Applied AI, Forward Deployed Machine Learning Engineer - NYC New York Solutions / Full-time / On-site Apply for this ...

Ai Engineer Machine Learning Pytorch

$94k - $105k* · Senior Fully remote

View details

Applied AI, Forward Deployed Machine Learning Engineer - Luxembourg Luxembourg Solutions / Full-time / On-site Apply ...

Ai Engineer Machine Learning Pytorch

$94k - $105k* · Senior Fully remote

View details

Applied AI, Forward Deployed Machine Learning Engineer - EMEA Paris / London / Luxembourg / Marseille / Amsterdam / M...

Ai Engineer Machine Learning Pytorch

$115k - $184k* · Senior Fully remote

View details

Applied AI, Senior/Staff Forward Deployed Machine Learning Engineer - Singapore Singapore Solutions / Full-time / On-...

Ai Engineer Machine Learning Senior

$126k - $199k* · Senior Fully remote

View details

Applied AI, Senior/Staff Forward Deployed Machine Learning Engineer - EMEA Paris / London / Luxembourg / Marseille / ...

Ai Engineer Machine Learning Senior

$126k - $199k* · Senior Fully remote

View details

Software Engineer, Research Team - Paris/London Paris / London Research / Full-time / Hybrid Apply for this job About...

Research Engineer Dev Java

$84k - $95k* · Senior Fully remote

View details

Research Engineer, Machine Learning - Paris/London Paris / London Research / Full-time / Hybrid Apply for this job Ab...

Research Engineer Machine Learning Tensorflow

$101k - $154k* · Senior Fully remote

View details

Backend Engineer - Subscriptions Stockholm / London Engineering – Subscriptions R&D / Permanent / Hybrid Apply for th...

Backend Engineer R Fulltime

$61k* · Senior Fully remote

View details

Senior Data Scientist

Tensorflow Scikit Learn Keras Python

Fully remote

View details

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new pos...

Engineer Machine Learning Senior Remote

$150k - $310k · Senior Fully remote

View details

Selected role

Research Scientist - Music

Spotify New York, NY

$132k - $188k Senior Full-time

We are seeking a Research Scientist to join our Artist-First AI Music lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles:

Partnerships with record labels, distributors, and music publishers: We’ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.

Choice in participation: We recognize there’s a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.

Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.

Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections.

For more information, see this press release: https://newsroom.spotify.com/2025-10-16/artist-first-ai-music-spotify-collaboration/

What You'll Do

Conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing.
Run large-scale experiments with access to Spotify’s extensive infrastructure and an audience of more than 700 million monthly active users.
Create practical applications that harness generative technologies, pushing the boundaries of what’s possible in listening experiences.
Collaborate as part of a cross-functional team—working closely with scientists, engineers, product managers, designers, user researchers, and analysts—to craft innovative solutions to complex challenges.
Have a direct impact on Spotify’s products, tools, and services, working on projects that influence the entire organization.
Engage with the broader research community by publishing your findings, delivering talks, and attending top conferences.

Who You Are

You have a Ph.D. degree in Computer Science, Mathematics, Engineering, or a related field. Previous industry experience is helpful.
You have experience in one or more of the following fields: generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic modeling, computer vision, or related areas.
You have publications in communities such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related.
You have strong coding skills in the following languages/libraries: Python, PyTorch, NumPy.
You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people.
You are enthusiastic about learning more about turning research ideas into products operating at scale.
You can explain complex topics in simple terms, and you enjoy building strong relationships with colleagues and stakeholders.

Where You'll Be

We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location.
This team operates within the Eastern Standard time zone for collaboration.
Core working hours are CET 3pm-6pm / EST 9am-12pm.

The United States base range for this position is $132,073 - $188,676 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, a monthly meal allowance, 23 paid days off, 13 paid flexible holidays. 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.

Showing 2001–2020 of 2,087 AI roles

1 … 99 100 102 103 105

Find your next AI role

Research Scientist - Music

Principal Research Scientist - Music

GenAI and LLM Lead

United States

Principal Machine Learning Engineer - Model Training and Customization

Sr Data Scientist - Merchandise Scaling (Applied ML, Python, ML Ops))

User Researcher - Music

Software Engineer, New Grad - Production Infrastructure

Software Engineer, Internship - Production Infrastructure

Applied AI, Forward Deployed Machine Learning Engineer- Singapore

Applied AI, Forward Deployed Machine Learning Engineer - NYC

Applied AI, Forward Deployed Machine Learning Engineer - Luxembourg

Applied AI, Forward Deployed Machine Learning Engineer - EMEA

Applied AI, Senior/Staff Forward Deployed Machine Learning Engineer - Singapore

Applied AI, Senior/Staff Forward Deployed Machine Learning Engineer - EMEA

Software Engineer, Research Team - Paris/London

Research Engineer, Machine Learning - Paris/London

Backend Engineer - Subscriptions

Senior Data Scientist

Sr. Machine Learning Engineer, Computer Vision