AI ML Engineer Visa Sponsorship Jobs in New York
New York is one of the most active markets for AI/ML engineer visa sponsorship in the U.S., driven by major employers across finance, tech, and media in New York City, as well as research hubs near Cornell Tech on Roosevelt Island. Companies like Google, Meta, Bloomberg, and JPMorgan Chase regularly sponsor H-1B visas for qualified AI and ML engineers.
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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.
AI ML Engineer Job Roles in New York
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Search AI ML Engineer Jobs in New YorkAI ML Engineer Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for AI/ML engineers in New York?
Large tech and financial firms account for the majority of AI/ML engineer H-1B sponsorships in New York. Google, Meta, Amazon, Microsoft, Bloomberg, JPMorgan Chase, Goldman Sachs, and Two Sigma have all appeared consistently in DOL disclosure data for sponsored AI and ML roles. Academic medical centers like Memorial Sloan Kettering also sponsor engineers working on applied machine learning in healthcare settings.
Which visa types are most common for AI/ML engineer roles in New York?
The H-1B is the most common visa for AI/ML engineers in New York, as these roles typically require at least a bachelor's degree in computer science, mathematics, or a related field, satisfying the specialty occupation requirement. Researchers and scientists may qualify for the O-1A based on extraordinary ability. Australian citizens working in the field may be eligible for the E-3 visa, which has no lottery.
How to find ai ml engineer visa sponsorship jobs in New York?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to find AI/ML engineer roles in New York where employers have an active history of sponsoring international candidates. Rather than sorting through unfiltered postings, you can search directly for New York-based AI and ML positions from companies that have previously filed H-1B petitions or sponsored other work visas.
Which cities in New York have the most AI/ML engineer sponsorship jobs?
New York City, particularly Manhattan, accounts for the overwhelming majority of sponsored AI/ML engineering roles in the state. The concentration of finance, media, and tech headquarters in Midtown and Lower Manhattan, combined with the Cornell Tech campus on Roosevelt Island, creates dense demand. Brooklyn's tech corridor and Long Island City have also seen growth, though at significantly smaller scale than Manhattan.
Are there any state-specific considerations for AI/ML engineers seeking visa sponsorship in New York?
New York City employers must comply with the Department of Labor's prevailing wage requirements for H-1B roles, and wages for AI/ML engineers in NYC are benchmarked against one of the highest prevailing wage tiers in the country due to the city's cost of living. New York's strong university pipeline, including Columbia, NYU, and Cornell Tech, also means employers in this market are accustomed to sponsoring graduates transitioning from F-1 OPT status.
What is the prevailing wage for sponsored ai 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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