Artificial Intelligence Scientist Visa Sponsorship Jobs in New York
Artificial intelligence scientist roles in New York attract visa sponsorship from major employers across finance, healthcare, and technology. Companies like JPMorgan Chase, IBM, Google, and Memorial Sloan Kettering actively hire AI scientists, while NYC's concentration of research labs and universities makes the state one of the most active hiring markets for international candidates in this field.
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Intuit is looking for an innovative and hands-on Staff AI Scientist to join the Intuit AI team. Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches.
Responsibilities
- Practices leadership and communication skills to influence teams and to evangelize AI science across the organization
- Collaborates with stakeholders to define success criteria and align model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
- Leads technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team’s work, and holding the team accountable for high quality code, git, design, costs and implementation standards
- Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them “model-ready”. You need to be willing and able to do your own ETL and design/build featurization.
- Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
- Runs A/B tests to draw conclusions on the impact of your team’s work and communicates results to peers and leaders
- Communicates with partners to ensure successful delivery and integration of DS solutions.
- Proactively researches, explores, and enables new ML technologies. Keeps up with the new developments in academia and industry and considers possible extensions to solve Intuit customer problems.
Qualifications
- 4+ years of industry experience with AI science
- BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent
- 4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning.
- Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.
- Proficient in NLP techniques, Explainable AI, and ML frameworks.
- Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R.
- Efficient in SQL, Hive, SparkSQL, etc.
- Comfortable working in a Linux environment
- Experience with building end-to-end reusable pipelines from data acquisition to model output delivery
- Quick learner, adaptable, with the ability to work independently in a fast-paced environment
- Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:
New York: $201,500 - $273,000
Overview
Intuit is looking for an innovative and hands-on Staff AI Scientist to join the Intuit AI team. Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches.
Responsibilities
- Practices leadership and communication skills to influence teams and to evangelize AI science across the organization
- Collaborates with stakeholders to define success criteria and align model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
- Leads technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team’s work, and holding the team accountable for high quality code, git, design, costs and implementation standards
- Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them “model-ready”. You need to be willing and able to do your own ETL and design/build featurization.
- Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
- Runs A/B tests to draw conclusions on the impact of your team’s work and communicates results to peers and leaders
- Communicates with partners to ensure successful delivery and integration of DS solutions.
- Proactively researches, explores, and enables new ML technologies. Keeps up with the new developments in academia and industry and considers possible extensions to solve Intuit customer problems.
Qualifications
- 4+ years of industry experience with AI science
- BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent
- 4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning.
- Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.
- Proficient in NLP techniques, Explainable AI, and ML frameworks.
- Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R.
- Efficient in SQL, Hive, SparkSQL, etc.
- Comfortable working in a Linux environment
- Experience with building end-to-end reusable pipelines from data acquisition to model output delivery
- Quick learner, adaptable, with the ability to work independently in a fast-paced environment
- Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:
New York: $201,500 - $273,000
Artificial Intelligence Scientist Job Roles in New York
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Search Artificial Intelligence Scientist Jobs in New YorkArtificial Intelligence Scientist Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for artificial intelligence scientists in New York?
Major financial institutions including JPMorgan Chase, Goldman Sachs, and Bloomberg are active sponsors, alongside technology companies like IBM, Google, and Microsoft with significant New York presence. Healthcare systems such as Memorial Sloan Kettering and NYU Langone also hire AI scientists. Academic medical centers and research universities, including Columbia and Cornell Tech on Roosevelt Island, regularly sponsor international researchers in this field.
Which visa types are most common for artificial intelligence scientist roles in New York?
The H-1B visa is the most common visa for artificial intelligence scientists, as the role qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, artificial intelligence, or a related field. O-1A visas are also pursued by candidates with published research, patents, or recognized contributions to the field. Some international researchers enter through J-1 visa exchange visitor status before transitioning to employer-sponsored work visas.
Which cities in New York have the most artificial intelligence scientist sponsorship jobs?
New York City accounts for the overwhelming majority of artificial intelligence scientist sponsorship opportunities in the state. Manhattan concentrates finance and technology employers, while Brooklyn and Long Island City have growing tech presences. Outside NYC, Albany hosts state government technology initiatives, and Buffalo has emerging AI activity tied to university research. Cornell Tech's Manhattan campus has strengthened the city's position as a hub for applied AI research and hiring.
How to find artificial intelligence scientist visa sponsorship jobs in New York?
Migrate Mate is built specifically for international job seekers and filters artificial intelligence scientist roles in New York by visa sponsorship history, so you're not sifting through listings from employers who don't sponsor. The platform surfaces roles from companies with verified H-1B and O-1 visa filing records relevant to AI research and engineering positions across New York City and the broader state.
Are there any state-specific considerations for artificial intelligence scientists seeking sponsorship in New York?
New York's prevailing wage requirements apply to H-1B petitions, meaning employers must certify that compensation meets the Department of Labor's regional wage levels for the role and location. New York City's high cost of living places it in one of the higher prevailing wage tiers nationally. The state's concentration of Ivy League and research university pipelines, including Columbia, NYU, and Cornell Tech, also means strong competition from candidates already holding OPT or STEM OPT authorization.
What is the prevailing wage for sponsored artificial intelligence scientist 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.