ML Engineer Visa Sponsorship Jobs in New York
New York is one of the most active markets for ML engineer visa sponsorship in the U.S., with major employers including JPMorgan Chase, Bloomberg, Google, and Meta concentrated in Manhattan, plus a growing hub in Brooklyn. Finance, media, and enterprise software companies here have well-established sponsorship infrastructure for machine learning talent.
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Get Access To All JobsAbout Gusto
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy.
About The Role
Gusto is looking for a Staff AI/ML Engineer to join the Applied Data Science team at Gusto Retirement-App. This is a critical role to build AI and ML framework and infrastructure to enable us to strengthen and optimize how data is used to enable customer journey and experience at Gusto.
Here’s what you’ll do day-to-day:
- Develop, test, and deploy AI/ML models to solve complex business problems, such as anomaly detection, personalized experience, generative AI application, algorithm & optimization.
- Transition models from proof-of-concept to production-ready solutions, ensuring scalability and performance.
- Review and contribute to codebases, participate in pull requests, and maintain high-quality engineering standards.
- Work with containerized environments to deploy, monitor, and troubleshoot ML services.
- Collaborate closely with cross-functional teams, including analytics, engineering, products and business stakeholders, to align solutions with organizational needs.
- Become a domain expert in key business areas, enabling you to craft intelligent, impactful data-driven solutions.
Basic Qualifications
- PhD with 3+ years or MS with 5+ years of industry experience in applied ML/GenAI, data science, or a related field.
- Proven track record of developing and deploying ML solutions in production, from PoC to scalable systems.
- Strong programming skills (Python, Javascript, C++, Java, or Scala) and proficiency in SQL for data extraction and manipulation.
- Hands-on experience with cloud platforms (AWS, GCP, or Azure), MLOps, and containerization (Docker, Kubernetes).
- Ability to work cross-functionally, translating business needs into AI-driven solutions and communicating effectively with technical and non-technical stakeholders.
Compensation
Our cash compensation amount for this role is targeted at $230k-280k for San Francisco, New York, and Seattle; $205k - 255k in Los Angeles; $185k-234k in Denver; and 200k-250k CAD for Toronto. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
Work Environment
Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.
Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.
Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer. Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.
About Gusto
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy.
About The Role
Gusto is looking for a Staff AI/ML Engineer to join the Applied Data Science team at Gusto Retirement-App. This is a critical role to build AI and ML framework and infrastructure to enable us to strengthen and optimize how data is used to enable customer journey and experience at Gusto.
Here’s what you’ll do day-to-day:
- Develop, test, and deploy AI/ML models to solve complex business problems, such as anomaly detection, personalized experience, generative AI application, algorithm & optimization.
- Transition models from proof-of-concept to production-ready solutions, ensuring scalability and performance.
- Review and contribute to codebases, participate in pull requests, and maintain high-quality engineering standards.
- Work with containerized environments to deploy, monitor, and troubleshoot ML services.
- Collaborate closely with cross-functional teams, including analytics, engineering, products and business stakeholders, to align solutions with organizational needs.
- Become a domain expert in key business areas, enabling you to craft intelligent, impactful data-driven solutions.
Basic Qualifications
- PhD with 3+ years or MS with 5+ years of industry experience in applied ML/GenAI, data science, or a related field.
- Proven track record of developing and deploying ML solutions in production, from PoC to scalable systems.
- Strong programming skills (Python, Javascript, C++, Java, or Scala) and proficiency in SQL for data extraction and manipulation.
- Hands-on experience with cloud platforms (AWS, GCP, or Azure), MLOps, and containerization (Docker, Kubernetes).
- Ability to work cross-functionally, translating business needs into AI-driven solutions and communicating effectively with technical and non-technical stakeholders.
Compensation
Our cash compensation amount for this role is targeted at $230k-280k for San Francisco, New York, and Seattle; $205k - 255k in Los Angeles; $185k-234k in Denver; and 200k-250k CAD for Toronto. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
Work Environment
Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.
Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.
Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer. Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.
ML Engineer Job Roles in New York
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Search ML Engineer Jobs in New YorkML Engineer Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for ML engineers in New York?
Large financial institutions like JPMorgan Chase, Goldman Sachs, and Citigroup are among the most active sponsors for ML engineers in New York, alongside tech firms like Google, Meta, and IBM. Bloomberg and Two Sigma are notable for their ML-focused teams in the city. Enterprise software companies and adtech firms also file regularly, making New York one of the highest-volume sponsorship markets in the country.
Which visa types are most common for ML engineer roles in New York?
The H-1B is the most common visa for ML engineers in New York, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, mathematics, or a related field. Australians may pursue the E-3 visa as an alternative without lottery exposure. Candidates with extraordinary ability in machine learning research may also qualify for the O-1A, which some New York employers support for senior or research-focused roles.
Which cities in New York have the most ML engineer sponsorship jobs?
Manhattan accounts for the overwhelming majority of ML engineer sponsorship positions in New York, driven by the density of financial services, media, and technology companies. Brooklyn has seen growth through companies in health tech, fintech, and startups. Albany and Buffalo have smaller but active tech sectors tied to state government initiatives and university research partnerships, though most sponsored ML roles remain concentrated in New York City.
How to find ml engineer visa sponsorship jobs in New York?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search ML engineer roles in New York without sifting through positions that don't offer sponsorship. The platform covers employers across finance, tech, and enterprise software in the New York market. Filtering by role and state on Migrate Mate surfaces companies that have an active sponsorship history for machine learning positions.
Are there state-specific factors ML engineers should know when pursuing sponsorship in New York?
New York's prevailing wage requirements under the H-1B Labor Condition Application are set to metropolitan-area rates, which reflect the high cost of living in the New York City metro. ML engineers with research backgrounds may find strong pipelines through Columbia University, NYU, and Cornell Tech, whose graduates are actively recruited by New York sponsors. Financial sector employers in New York often have in-house immigration counsel, which can streamline the sponsorship process compared to smaller firms.
What is the prevailing wage for sponsored ml 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.
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