Machine Learning Researcher Visa Sponsorship Jobs in New York
Machine learning researcher visa sponsorship jobs in New York are concentrated at institutions like NYU, Columbia, Cornell Tech, IBM Research, and major finance and tech firms across Manhattan and Brooklyn. New York's density of research labs, AI startups, and enterprise tech companies makes it one of the most active states for sponsored ML research roles.
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Get Access To All JobsINTRODUCTION
Virtu is a quantitative trading firm that uses cutting-edge models and infrastructure to provide liquidity to the global markets. As a Machine Learning Researcher at Virtu, you'll pursue high-impact research opportunities within a results-oriented, agile organization. This role offers the rare combination of intellectual challenge and direct business impact. You'll tackle complex problems without obvious solutions, taking ownership of our entire modeling ecosystem—from feature engineering and deep learning architecture design to training dynamics and execution strategy. Your innovations will directly influence how we operate in markets globally, making a tangible difference in a field that demands constant evolution, creative problem-solving, and first-principles thinking. A sense of curiosity, strong technical skillset, and collaborative mentality make you a good fit for this position, regardless of what industry you come from.
THE ROLE
- Investigate, evaluate, and prototype innovative algorithmic solutions using novel machine learning and deep learning techniques. Reinforcement learning experience is a bonus
- Results oriented mindset with a focus on developing deep learning models that directly impact P&L
- Implement sophisticated ML approaches for forecasting, feature engineering, and optimization challenges
- Conduct empirical ML research across multiple problem domains, rapidly prototyping and iterating novel architectures in Python/PyTorch/TensorFlow to solve challenging market problems
- Apply logical and mathematical reasoning to translate cutting-edge research methods between application areas. Adapt techniques from your area of expertise to achieve breakthrough results in the financial markets
- Partner with quantitative traders, researchers, and developers across teams to transform market insights into actionable data features and predictive models
THE CANDIDATE
- Minimum 2 years of applied experience developing deep learning solutions across diverse fields
- Proven capability in applying machine learning methodologies between different problem domains and application areas
- Strong production mindset with emphasis on delivering solutions that create bottom-line value and tangible business outcomes
- Proficient in rapid prototyping and iterative development using Python and contemporary deep learning frameworks
- Advanced programming expertise in areas such as core PyTorch/JAX framework development. Exposure to C++ in production environments is a plus
- Comfortable partnering with other researchers, developers, and traders and working on cross-functional projects in a collaborative environment
COMPENSATION
- Salary Range: $200,000 - $300,000 (salary range is exclusive of bonuses, benefits or other categories of compensation)
Virtu Financial is an equal opportunity employer, committed to a diverse and inclusive workplace, welcoming you for who you are and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
INTRODUCTION
Virtu is a quantitative trading firm that uses cutting-edge models and infrastructure to provide liquidity to the global markets. As a Machine Learning Researcher at Virtu, you'll pursue high-impact research opportunities within a results-oriented, agile organization. This role offers the rare combination of intellectual challenge and direct business impact. You'll tackle complex problems without obvious solutions, taking ownership of our entire modeling ecosystem—from feature engineering and deep learning architecture design to training dynamics and execution strategy. Your innovations will directly influence how we operate in markets globally, making a tangible difference in a field that demands constant evolution, creative problem-solving, and first-principles thinking. A sense of curiosity, strong technical skillset, and collaborative mentality make you a good fit for this position, regardless of what industry you come from.
THE ROLE
- Investigate, evaluate, and prototype innovative algorithmic solutions using novel machine learning and deep learning techniques. Reinforcement learning experience is a bonus
- Results oriented mindset with a focus on developing deep learning models that directly impact P&L
- Implement sophisticated ML approaches for forecasting, feature engineering, and optimization challenges
- Conduct empirical ML research across multiple problem domains, rapidly prototyping and iterating novel architectures in Python/PyTorch/TensorFlow to solve challenging market problems
- Apply logical and mathematical reasoning to translate cutting-edge research methods between application areas. Adapt techniques from your area of expertise to achieve breakthrough results in the financial markets
- Partner with quantitative traders, researchers, and developers across teams to transform market insights into actionable data features and predictive models
THE CANDIDATE
- Minimum 2 years of applied experience developing deep learning solutions across diverse fields
- Proven capability in applying machine learning methodologies between different problem domains and application areas
- Strong production mindset with emphasis on delivering solutions that create bottom-line value and tangible business outcomes
- Proficient in rapid prototyping and iterative development using Python and contemporary deep learning frameworks
- Advanced programming expertise in areas such as core PyTorch/JAX framework development. Exposure to C++ in production environments is a plus
- Comfortable partnering with other researchers, developers, and traders and working on cross-functional projects in a collaborative environment
COMPENSATION
- Salary Range: $200,000 - $300,000 (salary range is exclusive of bonuses, benefits or other categories of compensation)
Virtu Financial is an equal opportunity employer, committed to a diverse and inclusive workplace, welcoming you for who you are and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Machine Learning Researcher Job Roles in New York
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Search Machine Learning Researcher Jobs in New YorkMachine Learning Researcher Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for machine learning researchers in New York?
Major sponsors for machine learning researchers in New York include IBM Research (based in Yorktown Heights), Google, Meta, Amazon, Microsoft, and Two Sigma. Research-focused universities such as NYU, Columbia, and Cornell Tech also sponsor researchers. Financial institutions with dedicated AI research divisions, including JPMorgan Chase and Goldman Sachs, file sponsorship petitions for ML researcher roles in the state.
Which visa types realistically fit machine learning researcher roles in New York?
Machine learning researcher roles in New York typically qualify as specialty occupations requiring a directly related degree, so H-1B visa is the most common path. Australian nationals can use the E-3 visa under the same specialty occupation standard, without a lottery. Chilean and Singaporean nationals may qualify for the H-1B1 visa. OPT and STEM OPT allow F-1 graduates with STEM-designated degrees to work before pursuing employer-sponsored status. EB-2 or EB-3 green cards are common long-term pathways at research-intensive employers.
How to find machine learning researcher visa sponsorship jobs in New York?
Migrate Mate lists machine learning researcher roles specifically at New York employers with verified visa sponsorship history, so you can focus your search on companies that have filed for similar positions before. Filtering by New York on Migrate Mate surfaces both academic and industry research roles across Manhattan, Brooklyn, and the Hudson Valley, helping you identify active sponsors without sorting through employers who have never filed for ML researcher positions.
Which cities in New York have the most machine learning researcher sponsorship jobs?
Manhattan accounts for the largest share of machine learning researcher sponsorship activity in New York, driven by tech firm offices, financial institutions, and university research centers. Brooklyn's growing tech corridor, particularly around DUMBO and the Brooklyn Navy Yard, hosts a number of AI startups that sponsor researchers. Yorktown Heights and the broader Hudson Valley remain significant due to IBM Research's presence, and Ithaca sees activity tied to Cornell's AI programs.
Are there state-specific factors that affect visa sponsorship for machine learning researchers in New York?
New York's concentration of research universities creates a strong pipeline from academic labs directly into sponsored industry roles, with many employers recruiting from NYU's Center for Data Science and Columbia's Data Science Institute. The state's financial services sector adds an unusual dimension: quant-focused firms treating ML research as a core function sponsor at comparably high rates to pure tech companies. J-1 visa exchange visitor sponsorship is also available for postdoctoral ML researchers through university-affiliated programs, though it requires a designated sponsor organization.
What is the prevailing wage for sponsored machine learning researcher 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.