ML Software Engineer Visa Sponsorship Jobs in New York
New York is one of the top states for ML software engineer visa sponsorship, with major employers including Google, Amazon, Meta, IBM, and Bloomberg concentrated in Manhattan and Brooklyn. The city's dense tech ecosystem, strong finance and adtech sectors, and proximity to Columbia and NYU create consistent demand for machine learning talent from international candidates.
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This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions!
As a AI/ML Engineering Associate at JPMorgan Chase within the Business Banking you will be a key member responsible for designing and delivering trusted, market-leading AI technology products. Your role will involve implementing critical technology solutions across various technical domains to support the firm’s strategic objectives, ensuring security, stability, and scalability.
Job Responsibilities:
- Define the AI-driven validation roadmap across Business Banking.
- Architect and embed end-to-end AI checks into campaign authoring and execution workflows for all channels.
- Build AI/ML models to enhance final reads (pre-launch approvals), incorporating external signals and trend analysis to generate actionable recommendations.
- Partner with Marketing, Legal, Compliance, and Controls to operationalize AI capabilities and standardize measurement across CCB sub-LOBs.
- Automate quality metrics and evolve the learning agenda using internal benchmarks and external best practices.
- Provide executive-ready insights, recommendations, and status updates on the portfolio roadmap and key learnings.
- Integrate with upstream and downstream systems to ensure seamless tooling and support Transformation objectives.
- Champion quality-as-a-service: prevent errors and drive continuous improvement in validation processes.
- Demonstrate customer obsession by understanding and improving the end-to-end customer experience.
Required qualifications, capabilities and skills:
- Formal training or certification in Software Engineering concepts and 3+ years applied experience
- Experience of Gen AI builds, Agents, and MCP.
- Experience in one of the programming languages like Python, typescript, streamlit, UI design. Intermediate Python is a must.
- Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs)
- Hands-on experience with machine learning and deep learning methods.
- Proficiency in AI and machine learning frameworks (e.g., TensorFlow, PyTorch).
- Strong programming skills in languages such as Python, R, or Java.
- Ability to design and implement complex algorithms for recommendation systems and trend analysis.
- Experience in data integration and real-time data processing.
- Understanding of marketing and campaign testing processes.
Preferred Qualifications:
- Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
- Experience of all LLM models and their capabilities
- Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
- Prior experience in credit card marketing and in-market testing.
- Excellent communication and presentation skills along with strong interpersonal skills and ability to translate technical concepts into actionable business strategies.
- Demonstrated initiative and creativity with a proven track record in leading AI tool development and implementation.
About us
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
ABOUT THE TEAM
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
JOB DESCRIPTION
This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions!
As a AI/ML Engineering Associate at JPMorgan Chase within the Business Banking you will be a key member responsible for designing and delivering trusted, market-leading AI technology products. Your role will involve implementing critical technology solutions across various technical domains to support the firm’s strategic objectives, ensuring security, stability, and scalability.
Job Responsibilities:
- Define the AI-driven validation roadmap across Business Banking.
- Architect and embed end-to-end AI checks into campaign authoring and execution workflows for all channels.
- Build AI/ML models to enhance final reads (pre-launch approvals), incorporating external signals and trend analysis to generate actionable recommendations.
- Partner with Marketing, Legal, Compliance, and Controls to operationalize AI capabilities and standardize measurement across CCB sub-LOBs.
- Automate quality metrics and evolve the learning agenda using internal benchmarks and external best practices.
- Provide executive-ready insights, recommendations, and status updates on the portfolio roadmap and key learnings.
- Integrate with upstream and downstream systems to ensure seamless tooling and support Transformation objectives.
- Champion quality-as-a-service: prevent errors and drive continuous improvement in validation processes.
- Demonstrate customer obsession by understanding and improving the end-to-end customer experience.
Required qualifications, capabilities and skills:
- Formal training or certification in Software Engineering concepts and 3+ years applied experience
- Experience of Gen AI builds, Agents, and MCP.
- Experience in one of the programming languages like Python, typescript, streamlit, UI design. Intermediate Python is a must.
- Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs)
- Hands-on experience with machine learning and deep learning methods.
- Proficiency in AI and machine learning frameworks (e.g., TensorFlow, PyTorch).
- Strong programming skills in languages such as Python, R, or Java.
- Ability to design and implement complex algorithms for recommendation systems and trend analysis.
- Experience in data integration and real-time data processing.
- Understanding of marketing and campaign testing processes.
Preferred Qualifications:
- Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
- Experience of all LLM models and their capabilities
- Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
- Prior experience in credit card marketing and in-market testing.
- Excellent communication and presentation skills along with strong interpersonal skills and ability to translate technical concepts into actionable business strategies.
- Demonstrated initiative and creativity with a proven track record in leading AI tool development and implementation.
About us
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
ABOUT THE TEAM
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
ML Software Engineer Job Roles in New York
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Search ML Software Engineer Jobs in New YorkML Software Engineer Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for ML software engineers in New York?
Large tech and finance companies are the most consistent sponsors for ML software engineers in New York. Companies like Google, Amazon, Meta, IBM, Bloomberg, and Two Sigma have established sponsorship programs and regularly file H-1B petitions for ML roles. Mid-size startups in adtech, fintech, and healthtech also sponsor, though their processes tend to be less standardized than those of larger employers.
Which visa types are most common for ML software engineer roles in New York?
The H-1B is by far the most common visa for ML software engineers in New York, given that the role requires at least a bachelor's degree in computer science, statistics, or a closely related field, which satisfies the specialty occupation standard. Candidates with advanced degrees from U.S. universities may enter the cap through the master's cap exemption. The O-1A is an alternative for candidates with demonstrated exceptional ability, such as published research or notable open-source contributions.
How to find ml software engineer visa sponsorship jobs in New York?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can browse ML software engineer roles in New York without sorting through positions that don't support international candidates. The platform is built for this use case, making it faster to identify employers actively hiring and willing to file petitions for roles requiring machine learning expertise in the New York market.
Which cities in New York have the most ML software engineer sponsorship jobs?
Manhattan accounts for the large majority of ML software engineer sponsorship opportunities in New York, particularly in Midtown and the Flatiron District where tech and finance firms cluster. Brooklyn, especially the DUMBO and Industry City areas, has a growing concentration of ML-focused startups. Albany and Buffalo have smaller tech presences, but sponsorship activity for ML roles is heavily concentrated in the New York City metro area.
Are there any New York-specific considerations for ML software engineers pursuing visa sponsorship?
New York's concentration of financial services firms means many ML engineer roles involve working on proprietary trading systems, risk models, or fraud detection, which can add background check or security clearance requirements that affect sponsorship timelines. Columbia University, NYU, and Cornell Tech also feed a strong pipeline of international ML graduates into the city's hiring market, making New York one of the more competitive states for these roles among international candidates.
What is the prevailing wage for sponsored ml software 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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