Lead Machine Learning Engineer Visa Sponsorship Jobs in New York
Lead machine learning engineer visa sponsorship jobs in New York are concentrated in Manhattan's tech corridor, with major employers including Google, Meta, Amazon, JPMorgan Chase, and Bloomberg filing actively for ML engineering roles. New York's finance, advertising technology, and healthcare AI sectors create strong demand, particularly in Midtown Manhattan, the Flatiron District, and emerging hubs in Brooklyn.
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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.
At Spotify, great personalization is about more than recommending the right song. It's about creating listening experiences that feel effortless and meaningful while balancing the needs of listeners, creators, and our business.
The Samba team, part of Spotify's Personalization Mission, works on multi-objective balancing and sequencing for personalized listening experiences like Autoplay, Radio, and Mixes. Our engineers bring together machine learning, backend engineering, and data engineering to build systems that support Spotify's financial objectives while keeping listeners at the center of what we do.
We're looking for an Engineering Manager to lead this team, develop our engineers, and help shape the technical direction of systems that influence how millions of people experience Spotify.
ROLE AND RESPONSIBILITIES
- Lead and grow a team of machine learning, backend, and data engineers, supporting their development and helping them deliver their best work.
- Shape the team's technical strategy and execution, ensuring engineering efforts align with listener needs and Spotify's broader business goals.
- Guide the development of machine learning and recommendation systems that balance multiple objectives across personalized listening experiences.
- Collaborate with Product and engineering partners to define priorities, align on outcomes, and translate complex challenges into clear plans.
- Support the team in making thoughtful technical decisions across experimentation, scalability, system reliability, and model performance.
- Create a culture of ownership, collaboration, and continuous improvement, where engineers feel empowered to experiment and learn.
- Drive effective planning and delivery while balancing immediate priorities with long-term technical health.
- Foster an inclusive, supportive team environment through coaching, feedback, and thoughtful people leadership.
BASIC QUALIFICATIONS
Who You Are
- You have experience managing and developing engineering teams, with a track record of helping people grow and delivering impactful results.
- You bring a strong technical background in machine learning, software engineering, or related areas, and can confidently guide technical conversations.
- You understand the opportunities and challenges of developing and operating machine learning systems in production.
- You have experience working with cross-functional partners to define priorities, navigate trade-offs, and deliver against shared goals.
- You are comfortable leading teams through ambiguity and helping engineers make informed technical decisions.
- You care about building inclusive, collaborative environments where people feel supported and empowered.
- You communicate with clarity, lead with empathy, and know how to balance people, technology, and business needs.
LOCATION
- We offer you the flexibility to work where you work best! For this role, you can be within the North Americas 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 $227,495 - $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.
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.
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.
At Spotify, great personalization is about more than recommending the right song. It's about creating listening experiences that feel effortless and meaningful while balancing the needs of listeners, creators, and our business.
The Samba team, part of Spotify's Personalization Mission, works on multi-objective balancing and sequencing for personalized listening experiences like Autoplay, Radio, and Mixes. Our engineers bring together machine learning, backend engineering, and data engineering to build systems that support Spotify's financial objectives while keeping listeners at the center of what we do.
We're looking for an Engineering Manager to lead this team, develop our engineers, and help shape the technical direction of systems that influence how millions of people experience Spotify.
ROLE AND RESPONSIBILITIES
- Lead and grow a team of machine learning, backend, and data engineers, supporting their development and helping them deliver their best work.
- Shape the team's technical strategy and execution, ensuring engineering efforts align with listener needs and Spotify's broader business goals.
- Guide the development of machine learning and recommendation systems that balance multiple objectives across personalized listening experiences.
- Collaborate with Product and engineering partners to define priorities, align on outcomes, and translate complex challenges into clear plans.
- Support the team in making thoughtful technical decisions across experimentation, scalability, system reliability, and model performance.
- Create a culture of ownership, collaboration, and continuous improvement, where engineers feel empowered to experiment and learn.
- Drive effective planning and delivery while balancing immediate priorities with long-term technical health.
- Foster an inclusive, supportive team environment through coaching, feedback, and thoughtful people leadership.
BASIC QUALIFICATIONS
Who You Are
- You have experience managing and developing engineering teams, with a track record of helping people grow and delivering impactful results.
- You bring a strong technical background in machine learning, software engineering, or related areas, and can confidently guide technical conversations.
- You understand the opportunities and challenges of developing and operating machine learning systems in production.
- You have experience working with cross-functional partners to define priorities, navigate trade-offs, and deliver against shared goals.
- You are comfortable leading teams through ambiguity and helping engineers make informed technical decisions.
- You care about building inclusive, collaborative environments where people feel supported and empowered.
- You communicate with clarity, lead with empathy, and know how to balance people, technology, and business needs.
LOCATION
- We offer you the flexibility to work where you work best! For this role, you can be within the North Americas 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 $227,495 - $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.
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.
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.
Lead Machine Learning Engineer Job Roles in New York
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Search Lead Machine Learning Engineer Jobs in New YorkLead Machine Learning Engineer Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for lead machine learning engineers in New York?
Large technology and financial services firms dominate sponsorship activity for lead machine learning engineer roles in New York. Google, Meta, Amazon, Microsoft, and Apple maintain substantial ML engineering teams in the city. Financial institutions including JPMorgan Chase, Goldman Sachs, and Two Sigma also file regularly for senior ML talent. AdTech firms and healthcare technology companies such as Oscar Health represent additional sponsoring employer categories.
Which visa types realistically fit lead machine learning engineer roles in New York?
Lead machine learning engineer roles qualify as specialty occupations, making the H-1B visa the most common path. The E-3 visa is available to Australian nationals, and the H-1B1 visa covers Chilean and Singaporean nationals. Canadian and Mexican nationals may qualify under TN visa status as engineers. STEM OPT provides a 24-month extension for F-1 graduates holding a STEM-designated degree, allowing time to transition to employer-sponsored status. EB-2 and EB-3 green card paths are also available through PERM labor certification.
Which cities in New York have the most lead machine learning engineer sponsorship jobs?
Manhattan accounts for the overwhelming majority of lead machine learning engineer sponsorship positions in New York, driven by its concentration of tech companies, financial institutions, and media firms. The Flatiron District and Midtown are particularly active. Brooklyn has grown as a secondary hub, especially around the DUMBO and Brooklyn Tech Triangle areas. Albany and Buffalo see limited activity, primarily from healthcare systems and state-affiliated research institutions.
How to find lead machine learning engineer visa sponsorship jobs in New York?
Migrate Mate lists lead machine learning engineer roles in New York filtered to employers with verified visa sponsorship history, so you can target companies that have actively filed for ML engineering positions rather than applying broadly. Searching by role and state on Migrate Mate surfaces active sponsoring employers across Manhattan, Brooklyn, and other New York metros, saving significant research time for international candidates prioritizing sponsorship-confirmed opportunities.
Are there state-specific factors that affect lead machine learning engineer sponsorship hiring in New York?
New York's density of Ivy League and top-tier university pipelines, including Columbia, NYU, and Cornell Tech on Roosevelt Island, feeds a strong local ML talent supply that also attracts international graduates. New York City's status as a global financial and media center means ML engineering roles often span quantitative finance, natural language processing, and recommendation systems, increasing the technical specificity employers seek. New York State does not impose additional visa or sponsorship requirements beyond federal rules.
What is the prevailing wage for sponsored lead 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.