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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Cross River builds the infrastructure behind the world's most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively — trusted by leading fintechs, enterprises, and disruptors across the globe.
Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker's Best Places to Work in Fintech year after year. Whether you're designing code, solving regulatory puzzles, or developing strategy, you'll join a team where innovation and integrity drive everything we do — and where your work helps shape the future of finance.
Responsibilities:
- Build complex multi-agent AI agents that are highly scalable
- Work with LLMs, embedding models, and Retrieval-Augmented Generation (RAG) system
- Engineer and refine prompts to enhance AI performance and output quality
- Deploy and scale AI solutions using AWS (Lambda, cloud services) and modern architectures
- Ensure AI applications align with ethical standards, data privacy, and real-world scalability
- Develop, fine-tune, and optimize generative AI models using TensorFlow, PyTorch, or Hugging Face
Requirements
- Work with current state of the art LLMs and embedding models
- Experience building agentic AI systems
- Experience with debugging traces of LLM calls to identify errors/optimizations
- Experience with building Retrieval-Augmented Generation (RAG) systems
- Engineer and refine prompts to enhance AI performance and output quality
- Knowledge of extracting structured outputs from LLMs
- Experience using LLM APIs, embedding models, and RAG-based AI architectures
- Strong skills in Python, AI model deployment, and AWS services (Lambda preferred)
- Knowledge of LangChain, Pydantic, and scalable AI workflows
- Proficiency in prompt engineering and optimization techniques
- Some UI/UX experience is a plus
Qualifications
- Minimum 5 years of experience in AI/ML development and data engineering
- Proficiency in programming languages Python
- Strong experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
- Hands-on experience with data engineering tools like Apache Spark, Apache NiFi, Airflow, or similar
- Expertise in handling large-scale datasets and implementing ETL/ELT pipelines
- Experience with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes)
- Knowledge of database technologies (SQL, NoSQL, Data Lakes, Data Warehouses)
Preferred Qualifications:
- Experience in NLP, Generative AI, or deep learning models
- Proven track record of deploying AI solutions at scale
- Research background in generative AI models
- Ability to integrate code into real world application
- Understanding AI ethics, bias mitigation, and responsible AI principles
- Prior experience in the financial or banking sector is a plus
Salary Range: $160,000.00 - $200,000.00
Cross River is an Equal Opportunity Employer. Cross River does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
By submitting your application, you give Cross River permission to email, call, or text you using the contact details provided. We will only contact you with job related information.
Who We Are
Cross River builds the infrastructure behind the world's most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively — trusted by leading fintechs, enterprises, and disruptors across the globe.
Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker's Best Places to Work in Fintech year after year. Whether you're designing code, solving regulatory puzzles, or developing strategy, you'll join a team where innovation and integrity drive everything we do — and where your work helps shape the future of finance.
Responsibilities:
- Build complex multi-agent AI agents that are highly scalable
- Work with LLMs, embedding models, and Retrieval-Augmented Generation (RAG) system
- Engineer and refine prompts to enhance AI performance and output quality
- Deploy and scale AI solutions using AWS (Lambda, cloud services) and modern architectures
- Ensure AI applications align with ethical standards, data privacy, and real-world scalability
- Develop, fine-tune, and optimize generative AI models using TensorFlow, PyTorch, or Hugging Face
Requirements
- Work with current state of the art LLMs and embedding models
- Experience building agentic AI systems
- Experience with debugging traces of LLM calls to identify errors/optimizations
- Experience with building Retrieval-Augmented Generation (RAG) systems
- Engineer and refine prompts to enhance AI performance and output quality
- Knowledge of extracting structured outputs from LLMs
- Experience using LLM APIs, embedding models, and RAG-based AI architectures
- Strong skills in Python, AI model deployment, and AWS services (Lambda preferred)
- Knowledge of LangChain, Pydantic, and scalable AI workflows
- Proficiency in prompt engineering and optimization techniques
- Some UI/UX experience is a plus
Qualifications
- Minimum 5 years of experience in AI/ML development and data engineering
- Proficiency in programming languages Python
- Strong experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
- Hands-on experience with data engineering tools like Apache Spark, Apache NiFi, Airflow, or similar
- Expertise in handling large-scale datasets and implementing ETL/ELT pipelines
- Experience with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes)
- Knowledge of database technologies (SQL, NoSQL, Data Lakes, Data Warehouses)
Preferred Qualifications:
- Experience in NLP, Generative AI, or deep learning models
- Proven track record of deploying AI solutions at scale
- Research background in generative AI models
- Ability to integrate code into real world application
- Understanding AI ethics, bias mitigation, and responsible AI principles
- Prior experience in the financial or banking sector is a plus
Salary Range: $160,000.00 - $200,000.00
Cross River is an Equal Opportunity Employer. Cross River does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
By submitting your application, you give Cross River permission to email, call, or text you using the contact details provided. We will only contact you with job related information.
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.