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 JobsINTRODUCTION
We are seeking a skilled Machine Learning Engineer with deep expertise in building and optimizing recommendation systems within the consumer marketing space. The ideal candidate will have hands-on experience designing, implementing, and scaling personalized recommendation and targeting models that drive customer engagement, conversion, and revenue growth. Experience translating consumer behavior and marketing data into actionable, personalized experiences is essential.
ROLE AND RESPONSIBILITIES
- Design and develop machine learning models for recommendation and personalization systems (e.g., collaborative filtering, deep learning, hybrid approaches) tailored to consumer marketing use cases such as product recommendations, next-best-action, and audience targeting.
- Optimize models for scalability, performance, and real-time predictions across large-scale consumer datasets.
- Collaborate with business leaders, marketing partners, product and engineering teams to integrate models into production and campaign pipelines.
- Analyze and improve recommendation quality using metrics like precision, recall, click-through rate, conversion, and customer lifetime value.
- Leverage customer segmentation, behavioral, and first-party marketing data to enhance personalization and relevance.
- Experiment with cutting-edge techniques (e.g., reinforcement learning, graph neural networks, contextual bandits) to enhance recommendations and marketing outcomes.
BASIC QUALIFICATIONS
- 5+ years of experience in machine learning, with a focus on recommendation systems, ideally within consumer marketing, retail, e-commerce, or a related consumer-facing domain.
- Proven track record building personalization or recommendation models that measurably improved engagement or marketing performance.
- Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks.
- Strong understanding of algorithms like matrix factorization, neural networks, and ranking systems.
- Strong understanding of LTMs and agentic AI frameworks that can be customized for recommender systems.
- Experience working with consumer/marketing data, including behavioral, transactional, and campaign data (familiarity with CDPs, marketing analytics, or A/B testing is a plus).
- Experience with Databricks and AWS.
- Excellent problem-solving skills and a passion for delivering impactful, customer-centric solutions.
INTRODUCTION
We are seeking a skilled Machine Learning Engineer with deep expertise in building and optimizing recommendation systems within the consumer marketing space. The ideal candidate will have hands-on experience designing, implementing, and scaling personalized recommendation and targeting models that drive customer engagement, conversion, and revenue growth. Experience translating consumer behavior and marketing data into actionable, personalized experiences is essential.
ROLE AND RESPONSIBILITIES
- Design and develop machine learning models for recommendation and personalization systems (e.g., collaborative filtering, deep learning, hybrid approaches) tailored to consumer marketing use cases such as product recommendations, next-best-action, and audience targeting.
- Optimize models for scalability, performance, and real-time predictions across large-scale consumer datasets.
- Collaborate with business leaders, marketing partners, product and engineering teams to integrate models into production and campaign pipelines.
- Analyze and improve recommendation quality using metrics like precision, recall, click-through rate, conversion, and customer lifetime value.
- Leverage customer segmentation, behavioral, and first-party marketing data to enhance personalization and relevance.
- Experiment with cutting-edge techniques (e.g., reinforcement learning, graph neural networks, contextual bandits) to enhance recommendations and marketing outcomes.
BASIC QUALIFICATIONS
- 5+ years of experience in machine learning, with a focus on recommendation systems, ideally within consumer marketing, retail, e-commerce, or a related consumer-facing domain.
- Proven track record building personalization or recommendation models that measurably improved engagement or marketing performance.
- Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks.
- Strong understanding of algorithms like matrix factorization, neural networks, and ranking systems.
- Strong understanding of LTMs and agentic AI frameworks that can be customized for recommender systems.
- Experience working with consumer/marketing data, including behavioral, transactional, and campaign data (familiarity with CDPs, marketing analytics, or A/B testing is a plus).
- Experience with Databricks and AWS.
- Excellent problem-solving skills and a passion for delivering impactful, customer-centric solutions.
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.