Machine Learning Visa Sponsorship Jobs in New York
New York is one of the top states for machine learning visa sponsorship, with major employers including Google, Meta, IBM, Bloomberg, and JPMorgan Chase spread across Manhattan, Brooklyn, and the broader metro area. The finance, media, and tech sectors all run substantial ML teams, making New York a strong target for international candidates pursuing H-1B visa and O-1 visa sponsorship.
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Get Access To All JobsINTRODUCTION
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.
You’ll join a team working at the intersection of machine learning, music understanding, and user experience. We focus on generating music sessions powering experiences like systems that power conversational playlist generation to give users more adaptive and intuitive control over what they listen to.
This team collaborates closely with product, design, user research, and data science to build personalized, high-impact features used by hundreds of millions of listeners worldwide.
ROLE AND RESPONSIBILITIES
- Design, build, evaluate, and ship LLM-based solutions that give users more adaptive control over their listening experience
- Work on prompted playlist experiences with a focus on music fulfillment and session generation
- Collaborate with cross-functional partners across user research, design, data science, product, and engineering
- Prototype new ML approaches and bring them into production at global scale
- Build and improve systems that connect artists and fans in personalized and meaningful ways
- Contribute to the development of scalable ML systems serving hundreds of millions of users
- Promote best practices in ML system design, testing, evaluation, and deployment across the organization
- Actively contribute to a strong community of machine learning practitioners at Spotify
BASIC QUALIFICATIONS
Who You Are
- You are experienced in machine learning and enjoy solving complex real-world problems in collaborative environments
- You have a strong background in machine learning, natural language processing, and generative AI
- You are comfortable applying theory to build real-world, production-ready applications
- You have hands-on experience building and deploying end-to-end ML systems at scale
- You are familiar with LLM-based systems and techniques for improving them using human feedback such as reinforcement fine-tuning, DPO, or similar approaches
- You have experience designing modular ML architectures and writing technical specifications in partnership with product teams
- You are experienced with large-scale distributed data processing tools such as Apache Beam or Apache Spark
- You have worked with cloud platforms like GCP or AWS
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 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.
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.
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 team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.
You’ll join a team working at the intersection of machine learning, music understanding, and user experience. We focus on generating music sessions powering experiences like systems that power conversational playlist generation to give users more adaptive and intuitive control over what they listen to.
This team collaborates closely with product, design, user research, and data science to build personalized, high-impact features used by hundreds of millions of listeners worldwide.
ROLE AND RESPONSIBILITIES
- Design, build, evaluate, and ship LLM-based solutions that give users more adaptive control over their listening experience
- Work on prompted playlist experiences with a focus on music fulfillment and session generation
- Collaborate with cross-functional partners across user research, design, data science, product, and engineering
- Prototype new ML approaches and bring them into production at global scale
- Build and improve systems that connect artists and fans in personalized and meaningful ways
- Contribute to the development of scalable ML systems serving hundreds of millions of users
- Promote best practices in ML system design, testing, evaluation, and deployment across the organization
- Actively contribute to a strong community of machine learning practitioners at Spotify
BASIC QUALIFICATIONS
Who You Are
- You are experienced in machine learning and enjoy solving complex real-world problems in collaborative environments
- You have a strong background in machine learning, natural language processing, and generative AI
- You are comfortable applying theory to build real-world, production-ready applications
- You have hands-on experience building and deploying end-to-end ML systems at scale
- You are familiar with LLM-based systems and techniques for improving them using human feedback such as reinforcement fine-tuning, DPO, or similar approaches
- You have experience designing modular ML architectures and writing technical specifications in partnership with product teams
- You are experienced with large-scale distributed data processing tools such as Apache Beam or Apache Spark
- You have worked with cloud platforms like GCP or AWS
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 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.
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.
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.
Machine Learning Job Roles in New York
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Search Machine Learning Jobs in New YorkMachine Learning Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for machine learning roles in New York?
Large technology and finance companies are the most active sponsors. Google, Meta, Amazon, IBM, Microsoft, Bloomberg, JPMorgan Chase, Goldman Sachs, and Two Sigma have all filed significant numbers of H-1B petitions for machine learning and AI roles in New York. Established mid-size companies in adtech, healthtech, and fintech also sponsor regularly, though their volume is lower than the major players.
Which visa types are most common for machine learning roles in New York?
The H-1B is by far the most common visa for machine learning engineers and researchers in New York, as ML roles typically require at minimum a bachelor's degree in computer science, statistics, or a related field, satisfying the specialty occupation standard. The O-1A is an alternative for candidates with published research, conference presentations, or other documented recognition in the field. Some researchers enter on J-1 visa status through university or institutional exchange programs.
Which cities in New York have the most machine learning sponsorship jobs?
New York City accounts for the overwhelming majority of machine learning sponsorship activity in the state. Manhattan concentrates finance and enterprise tech employers, while Brooklyn has a growing tech presence around the Navy Yard and DUMBO areas. Albany, Buffalo, and Rochester have smaller but active ML hiring markets tied to state government initiatives, university research, and regional healthcare systems. Remote-eligible roles listed under a New York address are also common.
How to find machine learning visa sponsorship jobs in New York?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search machine learning roles in New York without sorting through positions that won't support international candidates. The platform covers openings at both large sponsors like Google and IBM and smaller companies that actively hire on H-1B. Filtering by New York and the machine learning category surfaces the most relevant listings for your search.
Are there any state-specific considerations for machine learning candidates pursuing sponsorship in New York?
New York's strong university pipeline, particularly from Columbia, NYU, and Cornell Tech on Roosevelt Island, means employers here are experienced with OPT and STEM OPT extensions as a precursor to H-1B sponsorship. The state's finance sector sets a high bar for applied ML skills, favoring candidates with production experience over purely academic backgrounds. New York City's cost of living means prevailing wage determinations for ML roles tend to fall in higher DOL wage tiers compared to most other states.
What is the prevailing wage for sponsored machine learning jobs in New York?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.