Machine Learning Engineer Visa Sponsorship Jobs in New York
New York is one of the top states for machine learning engineer visa sponsorship, driven by major tech employers like Google, Amazon, and Bloomberg in New York City, alongside a growing fintech and AI research presence. Meta, Two Sigma, and dozens of AI-focused startups actively hire and sponsor ML engineers across the state.
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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 Engineer Job Roles in New York
See all 247+ Machine Learning Engineer Jobs in New York
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Search Machine Learning Engineer Jobs in New YorkMachine Learning Engineer Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for machine learning engineers in New York?
Large tech and finance firms with significant New York presences are among the most active sponsors for machine learning engineers. Google, Amazon, Bloomberg, Two Sigma, JPMorgan Chase, and IBM have consistent H-1B visa filing histories for ML roles. Beyond those, New York's AI startup ecosystem, concentrated in Manhattan and Brooklyn, includes companies like Hugging Face and Cohere that also sponsor international engineers.
Which visa types are most common for machine learning engineer roles in New York?
The H-1B is the most common visa category for machine learning engineers in New York, given that ML roles typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with extraordinary ability may pursue the O-1A. Those already holding F-1 OPT or STEM OPT can work while an H-1B petition is pending.
Which cities in New York have the most machine learning engineer sponsorship jobs?
New York City accounts for the overwhelming majority of machine learning engineer sponsorship opportunities in the state. Manhattan's Midtown and Flatiron districts host major tech offices, while Brooklyn's growing tech corridor has attracted AI startups and research labs. Albany and Buffalo have smaller but emerging tech presences, particularly through university-affiliated research initiatives, but the volume of ML sponsorship roles there is significantly lower than in NYC.
How to find machine learning engineer visa sponsorship jobs in New York?
Migrate Mate is built specifically for international job seekers and filters machine learning engineer roles in New York by visa sponsorship willingness, saving you from sifting through listings that won't consider work authorization. You can browse active ML openings across New York City and the broader state, with roles sourced from employers that have documented H-1B filing histories, making your job search more targeted and efficient.
Are there any New York-specific factors machine learning engineers should know about visa sponsorship?
New York City's prevailing wage levels for machine learning engineers are among the highest in the country, which affects the Labor Condition Application your employer files as part of the H-1B process. The city's density of universities, including Columbia, NYU, and Cornell Tech on Roosevelt Island, creates a strong pipeline of ML talent and employer familiarity with sponsoring international candidates. Competition for sponsored roles is high given the concentration of qualified applicants.
What is the prevailing wage for sponsored machine learning engineer 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.