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 visa petitions for AI and ML roles across the state.
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Get Access To All JobsINTRODUCTION
Join a world-class data science team at JPMorgan Chase and help shape the future of our Chief Administrative Office. As a leader in applied AI and machine learning, you'll have the opportunity to work on high-impact projects that influence the way we do business across multiple domains. Collaborate with talented colleagues, leverage cutting-edge technologies, and see your work make a tangible difference. We value curiosity, technical excellence, and a passion for solving complex problems. If you're ready to accelerate your career and drive meaningful change, we want to hear from you.
ROLE AND RESPONSIBILITIES
As an Applied AI ML, Senior Associate in the Chief Data & Analytics Office, you will lead the development and deployment of innovative AI and machine learning solutions. You will collaborate with cross-functional teams to address complex business challenges, drive adoption of modern ML practices, and ensure responsible AI governance. You will have the opportunity to work with state-of-the-art technologies and contribute to a culture of technical excellence and continuous learning.
- Lead the hands-on design, development, and deployment of advanced AI, GenAI, and large language model solutions.
- Serve as a subject matter expert on a wide range of machine learning techniques and optimizations.
- Collaborate with product, engineering, and business teams to deliver scalable, production-ready AI systems.
- Conduct experiments using the latest ML technologies, analyze results, and tune models for optimal performance.
- Own end-to-end code development in Python for both proof-of-concept and production-ready solutions.
- Integrate generative AI within the ML platform using state-of-the-art techniques.
- Drive adoption of modern ML infrastructure, tools, and best practices.
- Optimize system accuracy and performance by identifying and resolving inefficiencies.
- Communicate technical concepts and results to both technical and business stakeholders.
- Ensure responsible AI practices, model governance, and compliance with regulatory standards.
BASIC QUALIFICATIONS
- Master's or PhD in Computer Science, Engineering, Mathematics, or a related quantitative field.
- Minimum 3 years of hands-on experience in applied machine learning, including generative AI, large language models, or foundation models.
- Experience programming in Python; experience with ML frameworks such as PyTorch or TensorFlow.
- Proven experience designing, training, and deploying large-scale ML/AI models in production environments.
- Understanding of prompt engineering, agentic workflows, and orchestration frameworks.
- Experience with cloud platforms (AWS, Azure, GCP) and distributed systems (Kubernetes, Ray, Slurm).
- Grasp of MLOps tools and practices (MLflow, model monitoring, CI/CD for ML).
- Strong communication skills with the ability to explain complex technical concepts to diverse audiences.
- Experience applying data science and ML techniques to solve business problems.
- Passion for detail, follow-through, and technical excellence.
PREFERRED QUALIFICATIONS
- Experience with high-performance computing and GPU infrastructure (e.g., NVIDIA DCGM, Triton Inference).
- Familiarity with big data processing tools and cloud data services.
- Experience with building and deploying ML models on cloud platforms such as AWS Sagemaker, EKS, etc.
About us
JPMorgan Chase, 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
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
INTRODUCTION
Join a world-class data science team at JPMorgan Chase and help shape the future of our Chief Administrative Office. As a leader in applied AI and machine learning, you'll have the opportunity to work on high-impact projects that influence the way we do business across multiple domains. Collaborate with talented colleagues, leverage cutting-edge technologies, and see your work make a tangible difference. We value curiosity, technical excellence, and a passion for solving complex problems. If you're ready to accelerate your career and drive meaningful change, we want to hear from you.
ROLE AND RESPONSIBILITIES
As an Applied AI ML, Senior Associate in the Chief Data & Analytics Office, you will lead the development and deployment of innovative AI and machine learning solutions. You will collaborate with cross-functional teams to address complex business challenges, drive adoption of modern ML practices, and ensure responsible AI governance. You will have the opportunity to work with state-of-the-art technologies and contribute to a culture of technical excellence and continuous learning.
- Lead the hands-on design, development, and deployment of advanced AI, GenAI, and large language model solutions.
- Serve as a subject matter expert on a wide range of machine learning techniques and optimizations.
- Collaborate with product, engineering, and business teams to deliver scalable, production-ready AI systems.
- Conduct experiments using the latest ML technologies, analyze results, and tune models for optimal performance.
- Own end-to-end code development in Python for both proof-of-concept and production-ready solutions.
- Integrate generative AI within the ML platform using state-of-the-art techniques.
- Drive adoption of modern ML infrastructure, tools, and best practices.
- Optimize system accuracy and performance by identifying and resolving inefficiencies.
- Communicate technical concepts and results to both technical and business stakeholders.
- Ensure responsible AI practices, model governance, and compliance with regulatory standards.
BASIC QUALIFICATIONS
- Master's or PhD in Computer Science, Engineering, Mathematics, or a related quantitative field.
- Minimum 3 years of hands-on experience in applied machine learning, including generative AI, large language models, or foundation models.
- Experience programming in Python; experience with ML frameworks such as PyTorch or TensorFlow.
- Proven experience designing, training, and deploying large-scale ML/AI models in production environments.
- Understanding of prompt engineering, agentic workflows, and orchestration frameworks.
- Experience with cloud platforms (AWS, Azure, GCP) and distributed systems (Kubernetes, Ray, Slurm).
- Grasp of MLOps tools and practices (MLflow, model monitoring, CI/CD for ML).
- Strong communication skills with the ability to explain complex technical concepts to diverse audiences.
- Experience applying data science and ML techniques to solve business problems.
- Passion for detail, follow-through, and technical excellence.
PREFERRED QUALIFICATIONS
- Experience with high-performance computing and GPU infrastructure (e.g., NVIDIA DCGM, Triton Inference).
- Familiarity with big data processing tools and cloud data services.
- Experience with building and deploying ML models on cloud platforms such as AWS Sagemaker, EKS, etc.
About us
JPMorgan Chase, 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
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
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.