AI ML Engineer Visa Sponsorship Jobs in New Jersey
New Jersey's AI and ML engineering market centers on pharma tech corridors in Princeton and Parsippany, financial services firms in Jersey City and Newark, and a growing cluster of startups near Hoboken. Major employers including Johnson & Johnson, Cognizant, and Audible have consistently filed H-1B petitions for AI and ML roles across the state.
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This is a rare opportunity to help shape the future of our Private Bank. With the sponsorship from the CEO and the heads of the business, our goal is to create an Agentic Private Bank - reimagining the entire process from start to finish, rethinking the operating model including organizational structures and developing AI agents equipped with the latest tools and technologies to fundamentally reshape how we perform this business.
Join our dynamic team of innovators and technologists as a Senior Applied AI/ML Associate, where your mission will be to revolutionize how the Bank services and advises clients, deepen client engagements, and drive process transformation. You will analyze existing processes and vast amounts of data to design autonomous AI agents. We seek individuals passionate about leveraging advanced data analysis, statistical modeling, and AI/ML techniques to solve complex business challenges through high-quality, cloud-centric software delivery. Our culture thrives on experimentation, continuous improvement, and learning. You will work in a collaborative, trusting, and intellectually stimulating environment—one that values diversity of thought and fosters creative solutions that serve the best interests of our global clientele.
Job Responsibilities
- Develop and implement GenAI and Agentic AI solutions using Python to enhance automation and decision-making processes.
- Collaborate with internal stakeholders to identify business needs and develop NLP/ML solutions that address client needs and drive transformation.
- Apply large language models (LLMs), machine learning (ML) techniques, and statistical analysis to enhance informed decision-making and improve workflow efficiency, which can be utilized across investment functions, client services, and operational processes.
- Collect and curate datasets for model training and evaluation.
- Perform experiments using different model architectures and hyperparameters, determine appropriate objective functions and evaluation metrics, and run statistical analysis of results.
- Monitor and improve model performance through feedback and active learning.
- Collaborate with technology teams to deploy and scale the developed models in production.
- Deliver written, visual, and oral presentation of modeling results to business and technical stakeholders.
Stay up-to-date with the latest research in LLM, ML, and data science. Identify and leverage emerging techniques to drive ongoing enhancement.
Required qualifications, capabilities, and skills
- Advanced degree (MS or PhD) in a quantitative or technical discipline or significant practical experience in industry.
- Minimum of 4 years of experience in applying NLP, LLM, and ML techniques in solving high-impact business problems, such as semantic search, information extraction, question answering, summarization, personalization, classification, or forecasting.
- Advanced python programming skills with experience writing production quality code.
- Good understanding of the foundational principles and practical implementations of ML algorithms such as clustering, decision trees, gradient descent, etc.
- Hands-on experience with deep learning toolkits such as PyTorch, Transformers, HuggingFace.
- Strong knowledge of language models, prompt engineering, model finetuning, and domain adaptation.
- Familiarity with latest development in deep learning frameworks.
- Ability to communicate complex concepts and results to both technical and business audiences.
Preferred qualifications, capabilities, and skills
- Prior experience of developing solutions for Financial domain.
- Exposure to distributed model training and deployment.
- Familiarity with techniques for model explainability and self-validation.
About us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses, and many of the world’s most prominent corporate, institutional, and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors, and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families, and foundations take a more intentional approach to their wealth or finances to better define, focus, and realize their goals.
JOB DESCRIPTION
This is a rare opportunity to help shape the future of our Private Bank. With the sponsorship from the CEO and the heads of the business, our goal is to create an Agentic Private Bank - reimagining the entire process from start to finish, rethinking the operating model including organizational structures and developing AI agents equipped with the latest tools and technologies to fundamentally reshape how we perform this business.
Join our dynamic team of innovators and technologists as a Senior Applied AI/ML Associate, where your mission will be to revolutionize how the Bank services and advises clients, deepen client engagements, and drive process transformation. You will analyze existing processes and vast amounts of data to design autonomous AI agents. We seek individuals passionate about leveraging advanced data analysis, statistical modeling, and AI/ML techniques to solve complex business challenges through high-quality, cloud-centric software delivery. Our culture thrives on experimentation, continuous improvement, and learning. You will work in a collaborative, trusting, and intellectually stimulating environment—one that values diversity of thought and fosters creative solutions that serve the best interests of our global clientele.
Job Responsibilities
- Develop and implement GenAI and Agentic AI solutions using Python to enhance automation and decision-making processes.
- Collaborate with internal stakeholders to identify business needs and develop NLP/ML solutions that address client needs and drive transformation.
- Apply large language models (LLMs), machine learning (ML) techniques, and statistical analysis to enhance informed decision-making and improve workflow efficiency, which can be utilized across investment functions, client services, and operational processes.
- Collect and curate datasets for model training and evaluation.
- Perform experiments using different model architectures and hyperparameters, determine appropriate objective functions and evaluation metrics, and run statistical analysis of results.
- Monitor and improve model performance through feedback and active learning.
- Collaborate with technology teams to deploy and scale the developed models in production.
- Deliver written, visual, and oral presentation of modeling results to business and technical stakeholders.
Stay up-to-date with the latest research in LLM, ML, and data science. Identify and leverage emerging techniques to drive ongoing enhancement.
Required qualifications, capabilities, and skills
- Advanced degree (MS or PhD) in a quantitative or technical discipline or significant practical experience in industry.
- Minimum of 4 years of experience in applying NLP, LLM, and ML techniques in solving high-impact business problems, such as semantic search, information extraction, question answering, summarization, personalization, classification, or forecasting.
- Advanced python programming skills with experience writing production quality code.
- Good understanding of the foundational principles and practical implementations of ML algorithms such as clustering, decision trees, gradient descent, etc.
- Hands-on experience with deep learning toolkits such as PyTorch, Transformers, HuggingFace.
- Strong knowledge of language models, prompt engineering, model finetuning, and domain adaptation.
- Familiarity with latest development in deep learning frameworks.
- Ability to communicate complex concepts and results to both technical and business audiences.
Preferred qualifications, capabilities, and skills
- Prior experience of developing solutions for Financial domain.
- Exposure to distributed model training and deployment.
- Familiarity with techniques for model explainability and self-validation.
About us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses, and many of the world’s most prominent corporate, institutional, and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors, and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families, and foundations take a more intentional approach to their wealth or finances to better define, focus, and realize their goals.
AI ML Engineer Job Roles in New Jersey
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Search AI ML Engineer Jobs in New JerseyAI ML Engineer Jobs in New Jersey: Frequently Asked Questions
Which companies sponsor visas for AI ML engineers in New Jersey?
New Jersey's largest H-1B sponsors for AI and ML engineering roles include Johnson & Johnson, Cognizant Technology Solutions, Audible, Conduent, and Synchronoss Technologies. Financial services firms headquartered in Jersey City and Newark, such as JPMorgan Chase and Prudential Financial, also file regularly for machine learning and data science positions. Consulting firms with major NJ offices, including Infosys and Wipro, are additional consistent sponsors.
Which visa types are most common for AI ML engineer roles in New Jersey?
The H-1B is the dominant visa for AI and ML engineers in New Jersey, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, data science, or a closely related field. OPT and STEM OPT extensions are common entry points for graduates from nearby universities. The L-1B intracompany transferee visa applies when a multinational employer transfers an employee with specialized knowledge into an NJ office.
How to find ai ml engineer visa sponsorship jobs in New Jersey?
Migrate Mate filters AI and ML engineer job listings in New Jersey specifically by visa sponsorship availability, saving time spent filtering out roles that won't support international candidates. You can browse active openings from employers in Princeton, Jersey City, and Newark who have a documented history of H-1B filings for AI and ML titles. Migrate Mate's job board is built for international job seekers, so every listed role is relevant to your sponsorship needs.
Which cities in New Jersey have the most AI ML engineer sponsorship jobs?
Jersey City and Newark generate the highest volume of AI and ML sponsorship roles, driven by financial services and tech firms with proximity to New York City. Princeton and the Route 1 corridor attract strong demand from pharmaceutical and biotech companies applying machine learning to drug discovery and clinical data. Hoboken has an emerging tech presence, and Parsippany hosts several enterprise software and consulting firms that sponsor regularly.
Are there any state-specific considerations for AI ML engineers seeking sponsorship in New Jersey?
New Jersey's concentration of pharmaceutical employers means many AI and ML roles are framed around bioinformatics, clinical trial modeling, or healthcare data, which can influence the degree field requirements cited on H-1B petitions. Rutgers University and NJIT produce a steady pipeline of graduate-level AI and ML talent, which means competition at the entry level is meaningful. Employers along the Route 1 corridor often use third-party staffing arrangements, so it's worth confirming direct employment and sponsorship terms before proceeding with an application.
What is the prevailing wage for sponsored ai ml engineer jobs in New Jersey?
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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