AI Engineer Jobs at Spotify with Visa Sponsorship
AI Engineer jobs at Spotify involve working 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 visa and permanent residence pathways.
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Get Access To All JobsINTRODUCTION
We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. The Policy & Safety team sits within Content Platform in the Experience Mission, building the systems that keep Spotify safe, compliant, and trusted by millions of users and creators. This team owns Spotify’s content moderation infrastructure — from detection models to policy enforcement systems and compliance data pipelines. Working at the intersection of machine learning, platform engineering, and regulatory compliance, the team partners closely with Trust & Safety, Legal, and Public Affairs. They’re on the critical path for every new content type and social feature — including messaging, comments, and collaborative experiences — ensuring safety is built in from day one. With a strong focus on “safety by default,” the team is investing in large-scale rearchitecture and ML-driven systems to proactively protect users and empower safer interactions across the platform.
ROLE AND RESPONSIBILITIES
- Design, build, and ship production-grade machine learning systems that power content safety and policy enforcement at Spotify scale
- Own and lead key technical initiatives across detection, classification, and policy evaluation systems
- Develop and maintain ML models for content moderation, including multimodal and LLM-based systems
- Build robust evaluation frameworks, including standardized datasets, offline and online metrics, and continuous improvement loops
- Drive experimentation to improve model performance, reliability, and fairness in safety-critical systems
- Collaborate closely with cross-functional partners in Trust & Safety, Legal, and Public Affairs to align on policy and enforcement needs
- Provide technical leadership within the team, mentoring engineers and contributing to ML strategy and prioritization
- Represent technical decisions and trade-offs in stakeholder discussions and influence product direction
BASIC QUALIFICATIONS
Who You Are
- You have solid experience building and deploying machine learning systems in production environments at scale
- You are experienced with training, evaluating, and maintaining ML models using modern frameworks such as PyTorch
- You have a deep understanding of machine learning evaluation, including dataset design, metrics, and continuous improvement systems
- You know how to design systems that balance performance, reliability, and real-world impact in high-stakes domains
- You care about building safe, responsible, and user-centric ML systems
- You are comfortable working across disciplines, partnering with legal, policy, and product stakeholders
- You have experience leading technical projects and influencing direction within a team or product area
- You have experience with distributed systems or backend technologies (e.g., Scala)
LOCATION
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.
COMPENSATION
The United States base range for this position is $184,050 - $262,928 USD, 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, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.
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
Today, we are the world’s most popular audio streaming subscription service.
INTRODUCTION
We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. The Policy & Safety team sits within Content Platform in the Experience Mission, building the systems that keep Spotify safe, compliant, and trusted by millions of users and creators. This team owns Spotify’s content moderation infrastructure — from detection models to policy enforcement systems and compliance data pipelines. Working at the intersection of machine learning, platform engineering, and regulatory compliance, the team partners closely with Trust & Safety, Legal, and Public Affairs. They’re on the critical path for every new content type and social feature — including messaging, comments, and collaborative experiences — ensuring safety is built in from day one. With a strong focus on “safety by default,” the team is investing in large-scale rearchitecture and ML-driven systems to proactively protect users and empower safer interactions across the platform.
ROLE AND RESPONSIBILITIES
- Design, build, and ship production-grade machine learning systems that power content safety and policy enforcement at Spotify scale
- Own and lead key technical initiatives across detection, classification, and policy evaluation systems
- Develop and maintain ML models for content moderation, including multimodal and LLM-based systems
- Build robust evaluation frameworks, including standardized datasets, offline and online metrics, and continuous improvement loops
- Drive experimentation to improve model performance, reliability, and fairness in safety-critical systems
- Collaborate closely with cross-functional partners in Trust & Safety, Legal, and Public Affairs to align on policy and enforcement needs
- Provide technical leadership within the team, mentoring engineers and contributing to ML strategy and prioritization
- Represent technical decisions and trade-offs in stakeholder discussions and influence product direction
BASIC QUALIFICATIONS
Who You Are
- You have solid experience building and deploying machine learning systems in production environments at scale
- You are experienced with training, evaluating, and maintaining ML models using modern frameworks such as PyTorch
- You have a deep understanding of machine learning evaluation, including dataset design, metrics, and continuous improvement systems
- You know how to design systems that balance performance, reliability, and real-world impact in high-stakes domains
- You care about building safe, responsible, and user-centric ML systems
- You are comfortable working across disciplines, partnering with legal, policy, and product stakeholders
- You have experience leading technical projects and influencing direction within a team or product area
- You have experience with distributed systems or backend technologies (e.g., Scala)
LOCATION
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.
COMPENSATION
The United States base range for this position is $184,050 - $262,928 USD, 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, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.
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
Today, we are the world’s most popular audio streaming subscription service.
See all AI Engineer Jobs at Spotify
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Engineer Jobs at Spotify.
Get Access To All JobsTips for Finding AI Engineer Jobs at Spotify
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.
Frequently 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.