ML Engineer Visa Sponsorship Jobs in New Jersey
New Jersey's ml engineer job market spans pharma tech corridors in Princeton, financial services firms in Jersey City, and major tech employers like Johnson & Johnson, Cognizant, and Verizon. Many of these companies have active H-1B visa sponsorship histories. Roles concentrate in the Route 1 corridor and the New York metro fringe, giving candidates access to dense industry networks.
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Get Access To All JobsWho 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.
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.
ML Engineer Job Roles in New Jersey
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Search ML Engineer Jobs in New JerseyML Engineer Jobs in New Jersey: Frequently Asked Questions
Which companies sponsor visas for ml engineers in New Jersey?
Companies with consistent H-1B sponsorship histories for ml engineer roles in New Jersey include Cognizant, Johnson & Johnson, Verizon, Merck, and Prudential Financial. Consulting firms such as Infosys and Tata Consultancy Services also place ml engineers across New Jersey client sites. Sponsorship patterns vary by year and business need, so checking recent DOL LCA disclosure data gives the most current picture.
Which visa types are most common for ml engineer roles in New Jersey?
The H-1B is the most common visa for ml engineers in New Jersey, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, statistics, or a related field. Candidates already authorized under OPT or STEM OPT extensions can begin working while an H-1B petition is pending. L-1B intracompany transfers are another pathway for candidates moving from a foreign affiliate of a New Jersey employer.
Which cities in New Jersey have the most ml engineer sponsorship jobs?
Jersey City and Newark generate the highest concentration of ml engineer sponsorship activity, largely because of their proximity to New York City's financial and tech sectors. Princeton and Plainsboro attract roles tied to pharmaceutical and life sciences companies along the Route 1 corridor. Parsippany and Florham Park also see consistent activity from large corporate headquarters with established immigration support infrastructure.
How to find ml engineer visa sponsorship jobs in New Jersey?
Migrate Mate filters job listings specifically for roles where employers have demonstrated visa sponsorship willingness, including ml engineer positions across New Jersey. Rather than sorting through unfiltered postings, you can search directly for sponsorship-confirmed roles in cities like Jersey City, Princeton, or Newark. Migrate Mate also surfaces employer sponsorship history, which helps you prioritize applications toward companies with an active track record in New Jersey.
Are there state-specific considerations for ml engineers seeking sponsorship in New Jersey?
New Jersey's concentration of pharmaceutical, financial services, and telecommunications employers creates strong demand for ml engineers with domain-specific skills in areas like drug discovery modeling, fraud detection, and network optimization. Rutgers University and NJIT feed a steady pipeline of graduate-level candidates, making competition for sponsored roles active. Employers filing Labor Condition Applications must attest to prevailing wage compliance, which is determined by the specific job location within New Jersey, not a statewide average.
What is the prevailing wage for sponsored 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.