Software Engineer Jobs at Spotify with Visa Sponsorship
Spotify hires Software Engineers across backend, frontend, mobile, and data infrastructure teams, with roles spanning its music streaming and podcast platforms. The company has a consistent track record of sponsoring work visas for engineering talent, making it a realistic target if you're building a U.S. immigration strategy around a tech role in the music industry.
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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.
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Sign up for free to unlock all listings, filter by visa type, and get alerts for new Software Engineer at Spotify roles.
Get Access To All JobsTips for Finding Software Engineer Jobs at Spotify Jobs
Tailor your portfolio to Spotify's stack
Spotify engineering teams work heavily in Python, Java, and Go, with infrastructure built around Kubernetes and Google Cloud. Frame your projects around distributed systems, data pipelines, or audio delivery to signal direct relevance before your resume even reaches a recruiter.
Target squads where sponsorship is routine
Spotify's engineering org is divided into autonomous squads. Roles in core streaming infrastructure, personalization, and ads tech have historically attracted international candidates. Prioritizing these teams over newer or experimental verticals puts you in front of hiring managers accustomed to sponsorship workflows.
Understand how Spotify structures LCA filings
Your employer files a Labor Condition Application with DOL before submitting your H-1B petition to USCIS. Spotify lists its prevailing wage data in public LCA disclosures. Reviewing those filings tells you the wage floors tied to specific job titles and work locations across their offices.
Use Migrate Mate to find open roles filtering by sponsorship
Spotify posts Software Engineer openings across multiple locations, but not every role is sponsorship-eligible. Use Migrate Mate to filter specifically for Spotify positions that support H-1B or Green Card sponsorship, so you're not investing interview prep in roles that won't move your visa forward.
Ask about Green Card timelines during the offer stage
If you're targeting long-term U.S. residency, ask your recruiter whether Spotify initiates EB-2 or EB-3 PERM sponsorship and at what tenure. Some employers start the process after a defined period. Knowing this upfront helps you plan around the PERM labor certification process, which can take one to two years before an I-140 is filed.
Software Engineer at Spotify jobs are hiring across the US. Find yours.
Find Software Engineer at Spotify JobsFrequently Asked Questions
Does Spotify sponsor H-1B visas for Software Engineers?
Yes, Spotify sponsors H-1B visas for Software Engineer roles. The company files petitions with USCIS for qualified engineering candidates across its U.S. offices. Sponsorship eligibility can vary by role and location, so confirming visa support directly with your recruiter during the offer stage is the most reliable way to verify your specific position qualifies.
Which visa types does Spotify sponsor for Software Engineer roles?
Spotify sponsors H-1B visas for Software Engineers requiring employer-tied work authorization. For candidates pursuing permanent residency, the company also supports EB-2 and EB-3 Green Card pathways, which involve PERM labor certification filed with DOL followed by an I-140 immigrant petition with USCIS. Transfer candidates already holding H-1B status can port their visa to Spotify under H-1B portability rules.
What qualifications does Spotify expect for sponsored Software Engineer roles?
Spotify typically requires a bachelor's degree or higher in computer science, software engineering, or a closely related field, which also satisfies the H-1B specialty occupation standard. Beyond credentials, engineering roles at Spotify emphasize distributed systems experience, proficiency in backend languages like Java, Python, or Go, and familiarity with cloud infrastructure. Roles in data or ML engineering often require additional domain-specific depth.
How do I apply for Software Engineer jobs at Spotify?
You can browse open Software Engineer positions on Spotify's careers page or use Migrate Mate to filter specifically for Spotify roles that support visa sponsorship. The hiring process typically includes a recruiter screen, technical assessments, and several rounds of system design and coding interviews. Flagging your visa requirements early in the recruiter call avoids late-stage complications once an offer is being structured.
How do I time my Spotify application around the H-1B cap?
If you need cap-subject H-1B sponsorship, USCIS registration opens in March each year for an October 1 start date. Aim to have an offer finalized by late February so Spotify's legal team can complete the Labor Condition Application with DOL and submit your registration in time. If you miss the annual lottery, OPT STEM extension or cap-exempt employment can bridge the gap while you wait for the next cycle.
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