Artificial Intelligence H-1B Sponsorship Jobs in New York
New York is one of the most active markets for artificial intelligence H-1B visa sponsorship jobs in the United States, with major employers including Google, Amazon, IBM, JPMorgan Chase, and a dense cluster of AI-focused startups in Manhattan and Brooklyn. From machine learning engineering to NLP research, the city's finance, media, and tech sectors drive consistent demand for H-1B-sponsored AI talent.
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Get Access To All JobsINTRODUCTION
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
AI will change the future of work in profound ways, and our products—Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world.
ROLE AND RESPONSIBILITIES
- Design, develop, test, deploy, maintain, and enhance large scale software solutions.
- Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
- Lead the design of GenAI solutions, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies.
BASIC QUALIFICATIONS
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience testing, and launching software products.
- 3 years of experience with software design and architecture.
- 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
PREFERRED QUALIFICATIONS
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures/algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in an organization involving cross-functional, or cross-business projects.
COMPENSATION
The US base salary range for this full-time position is $207,000-$307,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
INTRODUCTION
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
AI will change the future of work in profound ways, and our products—Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world.
ROLE AND RESPONSIBILITIES
- Design, develop, test, deploy, maintain, and enhance large scale software solutions.
- Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
- Lead the design of GenAI solutions, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies.
BASIC QUALIFICATIONS
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience testing, and launching software products.
- 3 years of experience with software design and architecture.
- 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
PREFERRED QUALIFICATIONS
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures/algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in an organization involving cross-functional, or cross-business projects.
COMPENSATION
The US base salary range for this full-time position is $207,000-$307,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
H-1B Artificial Intelligence Job Roles in New York
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Search Artificial Intelligence Jobs in New YorkArtificial Intelligence H-1B Sponsorship Jobs in New York: Frequently Asked Questions
Which artificial intelligence companies sponsor H-1B visas in New York?
New York has a wide range of artificial intelligence H-1B visa sponsors across industries. Major tech employers include Google, Amazon, IBM, and Microsoft, all with significant New York offices. Financial institutions like JPMorgan Chase, Goldman Sachs, and Bloomberg actively hire AI talent under H-1B sponsorship. AI-native companies such as Hugging Face, Dataiku, and numerous Series A and B startups headquartered in Manhattan also appear regularly in DOL H-1B disclosure data.
Which cities in New York have the most artificial intelligence H-1B sponsorship jobs?
Manhattan accounts for the overwhelming majority of artificial intelligence H-1B sponsorship jobs in New York, particularly in Midtown and the Flatiron District, where tech and finance employers are concentrated. Brooklyn's tech community, centered around DUMBO and the Navy Yard, is a secondary hub with growing AI startup activity. Buffalo and Albany have smaller but emerging AI hiring markets tied to university research partnerships and state economic development initiatives.
What types of artificial intelligence roles typically qualify for H-1B sponsorship?
Roles that consistently qualify as specialty occupations under H-1B include machine learning engineer, data scientist, NLP engineer, computer vision researcher, AI research scientist, and MLOps engineer. These positions typically require at least a bachelor's degree in computer science, mathematics, statistics, or a closely related field. Roles where the degree requirement is specific to the field of AI or machine learning, rather than open to any discipline, are the most straightforward to sponsor.
How do I find artificial intelligence H-1B sponsorship jobs in New York?
Migrate Mate is built specifically for this search. You can filter by visa type, industry, and state to surface artificial intelligence H-1B sponsorship jobs in New York from employers with a documented history of sponsoring that visa category. Rather than manually checking company careers pages or DOL disclosure data, Migrate Mate aggregates verified sponsoring employers in one place, which is particularly useful given how competitive and fast-moving New York's AI hiring market is.
Are there any New York-specific considerations for H-1B sponsorship in artificial intelligence?
New York's high cost of living means prevailing wage determinations for AI roles tend to be among the highest in the country, which employers must meet when filing the Labor Condition Application with the Department of Labor. New York City also enforces its own local employment laws that affect hiring processes, though these don't change federal H-1B requirements. Competition for sponsored AI roles in New York is intense, and many employers require candidates to already be in H-1B-eligible status or on OPT.
What is the prevailing wage for H-1B artificial intelligence 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.