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 JobsAre you ready to shape the future of authentication? Join 1Kosmos and help lead the next wave in identity assurance and passwordless innovation. 1Kosmos is driving the future of identity security, empowering organizations to eliminate passwords and establish trust at every step of the identity lifecycle. As a vibrant team of innovators, we develop advanced authentication solutions trusted by some of the world's leading brands. Join us as we create a passwordless world and set new standards for digital identity assurance. We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture, data extraction, and fraud detection, delivering high-performance models that can run on both mobile devices and cloud environments. This role blends R&D with production engineering—you'll take ownership of the full ML lifecycle, from dataset creation and model training to deployment and performance optimization.
Key Responsibilities
- Design and implement AI models for image classification, object detection, OCR, and feature extraction
- Develop real-time image quality assessment and capture guidance algorithms
- Create and maintain data pipelines for collecting, cleaning, augmenting, and labeling datasets
- Implement model optimization techniques for mobile (on-device) and cloud inference
- Apply fraud detection methods to identify tampering, forgeries, or replay attacks in visual data
- Integrate ML models into production-grade APIs and mobile SDKs
- Monitor, evaluate, and continuously improve model accuracy and performance
- Collaborate with product and engineering teams to align AI capabilities with business goals
Requirements
- Bachelor's or Master's degree in Computer Science, AI/ML, or related field (or equivalent experience)
- 3+ years of experience building and deploying ML models in production
- Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar)
- Experience with computer vision libraries (e.g., OpenCV) and OCR technologies
- Strong understanding of deep learning architectures for image and text recognition
- Familiarity with cloud platforms (AWS, GCP, or Azure) and API development
- Strong problem-solving skills and ability to work in fast-paced environments
- Based in the NJ / NY area; Hybrid working model
Preferred Qualifications
- Experience with model quantization and optimization for mobile deployment
- Knowledge of synthetic data generation and data augmentation techniques
- Background in security, liveness detection, or anomaly detection
- Exposure to compliance and data privacy regulations (GDPR, CCPA)
- Contributions to open-source ML projects or published research
Benefits
- Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High, FIDO2-certified cryptography, and NIST-compliant biometric systems.
- Accelerated Growth: Receive annual stipends for certifications and attend key conferences like Identiverse or EIC
- Ownership & Impact: We move fast and will enable you to make a big impact with large customers in US & Canada.
- Flexibility First: Unlimited PTO, and 2 days WFH
Are you ready to shape the future of authentication? Join 1Kosmos and help lead the next wave in identity assurance and passwordless innovation. 1Kosmos is driving the future of identity security, empowering organizations to eliminate passwords and establish trust at every step of the identity lifecycle. As a vibrant team of innovators, we develop advanced authentication solutions trusted by some of the world's leading brands. Join us as we create a passwordless world and set new standards for digital identity assurance. We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture, data extraction, and fraud detection, delivering high-performance models that can run on both mobile devices and cloud environments. This role blends R&D with production engineering—you'll take ownership of the full ML lifecycle, from dataset creation and model training to deployment and performance optimization.
Key Responsibilities
- Design and implement AI models for image classification, object detection, OCR, and feature extraction
- Develop real-time image quality assessment and capture guidance algorithms
- Create and maintain data pipelines for collecting, cleaning, augmenting, and labeling datasets
- Implement model optimization techniques for mobile (on-device) and cloud inference
- Apply fraud detection methods to identify tampering, forgeries, or replay attacks in visual data
- Integrate ML models into production-grade APIs and mobile SDKs
- Monitor, evaluate, and continuously improve model accuracy and performance
- Collaborate with product and engineering teams to align AI capabilities with business goals
Requirements
- Bachelor's or Master's degree in Computer Science, AI/ML, or related field (or equivalent experience)
- 3+ years of experience building and deploying ML models in production
- Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar)
- Experience with computer vision libraries (e.g., OpenCV) and OCR technologies
- Strong understanding of deep learning architectures for image and text recognition
- Familiarity with cloud platforms (AWS, GCP, or Azure) and API development
- Strong problem-solving skills and ability to work in fast-paced environments
- Based in the NJ / NY area; Hybrid working model
Preferred Qualifications
- Experience with model quantization and optimization for mobile deployment
- Knowledge of synthetic data generation and data augmentation techniques
- Background in security, liveness detection, or anomaly detection
- Exposure to compliance and data privacy regulations (GDPR, CCPA)
- Contributions to open-source ML projects or published research
Benefits
- Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High, FIDO2-certified cryptography, and NIST-compliant biometric systems.
- Accelerated Growth: Receive annual stipends for certifications and attend key conferences like Identiverse or EIC
- Ownership & Impact: We move fast and will enable you to make a big impact with large customers in US & Canada.
- Flexibility First: Unlimited PTO, and 2 days WFH
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.