AI Engineer Jobs at Spotify with Visa Sponsorship
Spotify's AI Engineering teams work across personalization, recommendation systems, and audio intelligence, building the models that power how hundreds of millions of people discover music. Spotify has a consistent track record of sponsoring work visas for technical roles at this level, including both H-1B and permanent residence pathways.
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Get Access To All JobsINTRODUCTION
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.
Our team’s mission is to bring emerging search and agentic experiences to a mature state: exploring, defining, building, validating and optimizing new ideas. These can include new content types in our Search engine or emerging user interaction patterns.
ROLE AND RESPONSIBILITIES
- Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development.
- Lead collaborations and align across Personalization to integrate and A/B test mid-term signals in various recommendation systems.
- Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization.
BASIC QUALIFICATIONS
Who You Are
- You have a background in machine learning, enjoy applying theory to develop real-world applications, with experience in statistics and optimization, especially in sequential models, transformers, generative AI and large language models, and relevant fine-tuning processes.
- You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders.
- You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages.
- You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like GCP or AWS.
- You care about agile software processes, data-driven development, reliability, and disciplined experimentation.
LOCATION
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.
COMPENSATION
The United States base range for this position is $170,000 - $212,000 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.
EEO STATEMENT
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.
OUR GLOBAL BENEFITS
- Extensive learning opportunities, through our dedicated team, GreenHouse.
- Flexible share incentives letting you choose how you share in our success.
- Global parental leave, six months off - for all new parents.
- All The Feels, our employee assistance program and self-care hub.
- Flexible public holidays, swap days off according to your values and beliefs.
INTRODUCTION
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.
Our team’s mission is to bring emerging search and agentic experiences to a mature state: exploring, defining, building, validating and optimizing new ideas. These can include new content types in our Search engine or emerging user interaction patterns.
ROLE AND RESPONSIBILITIES
- Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development.
- Lead collaborations and align across Personalization to integrate and A/B test mid-term signals in various recommendation systems.
- Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization.
BASIC QUALIFICATIONS
Who You Are
- You have a background in machine learning, enjoy applying theory to develop real-world applications, with experience in statistics and optimization, especially in sequential models, transformers, generative AI and large language models, and relevant fine-tuning processes.
- You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders.
- You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages.
- You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like GCP or AWS.
- You care about agile software processes, data-driven development, reliability, and disciplined experimentation.
LOCATION
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.
COMPENSATION
The United States base range for this position is $170,000 - $212,000 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.
EEO STATEMENT
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.
OUR GLOBAL BENEFITS
- Extensive learning opportunities, through our dedicated team, GreenHouse.
- Flexible share incentives letting you choose how you share in our success.
- Global parental leave, six months off - for all new parents.
- All The Feels, our employee assistance program and self-care hub.
- Flexible public holidays, swap days off according to your values and beliefs.
See all 28+ AI Engineer at Spotify jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Engineer at Spotify roles.
Get Access To All JobsTips for Finding AI Engineer Jobs at Spotify Jobs
Frame Your ML Work Around Audio Data
Spotify's AI teams work with audio embeddings, streaming behavior signals, and large-scale recommendation models. Tailor your resume and portfolio to show experience with these problem types, not generic ML work that could apply anywhere.
Target Roles With Explicit H-1B Language
Spotify posts roles across engineering levels, but not every team sponsors equally. Filter for postings that reference visa sponsorship directly, then cross-check the team's focus against Spotify's known AI product areas like Discover Weekly or podcast recommendations.
Use Migrate Mate to Surface Sponsored Openings
Identifying which AI Engineer openings at Spotify are actively open to sponsored candidates saves weeks of wasted applications. Use Migrate Mate to browse and filter Spotify's current visa-sponsoring roles before you apply.
Prepare Your Specialty Occupation Evidence Early
H-1B approval for AI Engineer roles hinges on demonstrating specialty occupation status. Pull together degree transcripts, job description alignment, and any publications or patents now, so your employer's immigration counsel can file a strong I-129 petition without delays.
Align Your Timeline With H-1B Cap Deadlines
If you're not already in H-1B status, cap-subject petitions must be filed by April 1 for an October 1 start. Confirm your target start date with Spotify's recruiting team early enough to leave room for LCA certification with the DOL before the USCIS filing window opens.
Ask About EB-2 or EB-3 Sponsorship During Negotiation
Spotify has filed both EB-2 and EB-3 petitions for engineering talent. Once you have an offer, ask directly whether PERM sponsorship is part of the compensation package and at what tenure it typically begins, so you're not discovering the answer a year into the job.
AI Engineer at Spotify jobs are hiring across the US. Find yours.
Find AI Engineer at Spotify JobsFrequently Asked Questions
Does Spotify sponsor H-1B visas for AI Engineers?
Yes, Spotify sponsors H-1B visas for AI Engineer roles. Spotify treats technical sponsorship as a standard part of hiring for these positions, and their internal immigration process is handled by experienced legal counsel. You'll want to confirm sponsorship intent during the recruiter screen, since timelines depend on whether you're cap-subject or already in H-1B status.
Which visa types does Spotify commonly use for AI Engineer roles?
Spotify sponsors H-1B visas for nonimmigrant work authorization and files EB-2 and EB-3 immigrant petitions for permanent residence. AI Engineers with advanced degrees often qualify for EB-2, which bypasses the labor market test in some cases. For most new hires, the H-1B is the first step, with Green Card sponsorship beginning after a defined tenure.
How do I apply for AI Engineer jobs at Spotify?
Applications go through Spotify's careers portal, where you can filter by team and role type. For sponsored positions specifically, Migrate Mate surfaces Spotify's active AI Engineer openings that include visa sponsorship, letting you apply with confidence that the role is open to candidates who need authorization. Expect a technical screen followed by a system design and machine learning depth interview loop.
What qualifications does Spotify expect for AI Engineer roles?
Spotify typically looks for a bachelor's or master's degree in computer science, machine learning, or a closely related field, plus hands-on experience building and deploying production ML systems. Familiarity with recommendation systems, audio or NLP modeling, or large-scale data pipelines is a strong differentiator. Research experience and published work are valued, particularly for senior levels.
How do I manage visa timing if I get an offer from Spotify?
If you're cap-subject, your H-1B petition must be registered in March and, if selected, filed by April 1 for an October 1 start. Spotify's immigration team will coordinate with you, but you should flag your current status and any OPT or grace period deadlines at the offer stage. For candidates on OPT, cap-gap protection covers the gap between OPT expiration and October 1 if USCIS receives your petition before OPT ends.
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