Data Science Engineer Jobs at Spotify with Visa Sponsorship
Spotify hires Data Science Engineers to build the recommendation systems, experimentation platforms, and audio intelligence pipelines that shape how hundreds of millions of people discover music. The company has a consistent track record of sponsoring work visas for this function, making it a realistic target for international candidates with the right technical background.
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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 32+ Data Science Engineer at Spotify jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Science Engineer at Spotify roles.
Get Access To All JobsTips for Finding Data Science Engineer Jobs at Spotify Jobs
Build a portfolio around audio and personalization
Spotify's Data Science Engineering roles center on recommendation systems, A/B testing infrastructure, and streaming data pipelines. Publish projects or papers that touch these areas before you apply. Generic machine learning portfolios get filtered out early.
Target teams through Spotify's open roles page
Spotify organizes Data Science Engineering work across distinct product areas like Personalization, Podcast, and Creator tools. Identifying which team a role sits under lets you tailor your application to that team's specific data stack and research focus.
Clarify your visa status before the first interview
Spotify's recruiting process moves quickly through technical screens to system design rounds. Disclosing your H-1B or sponsorship need at the pre-screen stage prevents wasted rounds on both sides and lets the recruiting team loop in their immigration counsel early.
Understand H-1B cap timing relative to your offer
If you need a new H-1B, USCIS only accepts cap-subject petitions in April for an October 1 start. If Spotify extends an offer outside that window, ask specifically whether they'll support a change of status or cap-exempt filing to bridge the gap.
Use Migrate Mate to filter for Spotify's sponsored openings
Sponsored Data Science Engineer openings at Spotify don't always stay visible long. Use Migrate Mate to filter for Spotify roles by visa type so you're applying to positions where sponsorship is already confirmed, not assuming it from the job description.
Prepare for DOL prevailing wage scrutiny on your offer
For H-1B filings, your employer must certify to DOL that your offered wage meets or exceeds the prevailing wage for your role and location. At Spotify's New York and Los Angeles offices, prevailing wage floors for Data Science Engineers are notably high. Confirm your offer aligns before the LCA is filed.
Data Science Engineer at Spotify jobs are hiring across the US. Find yours.
Find Data Science Engineer at Spotify JobsFrequently Asked Questions
Does Spotify sponsor H-1B visas for Data Science Engineers?
Yes, Spotify sponsors H-1B visas for Data Science Engineers. The company has an established immigration process and works with outside immigration counsel to support candidates who need sponsorship. If you're in the H-1B lottery or already hold H-1B status and need a transfer, Spotify's recruiting team can initiate the process once an offer is extended.
How do I apply for Data Science Engineer jobs at Spotify?
Applications go through Spotify's careers page. You'll typically complete a recruiter screen, one or two technical interviews covering data modeling and experimentation design, and a system design round focused on large-scale data infrastructure. Disclosing your visa sponsorship requirement at the recruiter screen stage is the right move. You can also browse Spotify's current sponsored openings directly on Migrate Mate.
Which visa types does Spotify commonly use for Data Science Engineers?
Spotify sponsors H-1B visas for Data Science Engineers in specialty occupation roles requiring a degree in computer science, statistics, or a related field. For longer-term pathways, Spotify also supports EB-2 and EB-3 Green Card sponsorship, which requires PERM labor certification filed with DOL. The appropriate category depends on your role level, degree, and how long you've been with the company.
What qualifications does Spotify expect for Data Science Engineer roles?
Spotify's Data Science Engineer roles typically require a bachelor's or master's degree in computer science, statistics, or a quantitative discipline. Practically, interviewers test depth in experimentation frameworks, causal inference, and distributed data systems like Spark or Flink. Experience building or scaling recommendation models in a consumer product environment is a strong differentiator. Research publications in machine learning or information retrieval are a meaningful credential at senior levels.
How long does the H-1B sponsorship process take if Spotify extends an offer?
If you need a cap-subject H-1B, registration opens in March and work authorization begins October 1 at the earliest, so expect a gap of several months between offer and start date. If you're transferring an existing H-1B from another employer, Spotify can file a petition and you're eligible to start work once USCIS receives it, without waiting for approval. USCIS premium processing is available to accelerate adjudication to roughly 15 business days.
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