Machine Learning Engineer Visa Sponsorship Jobs in New Jersey
Machine learning engineer visa sponsorship jobs in New Jersey are concentrated around the pharmaceutical corridor in Raritan and Parsippany, financial technology hubs in Jersey City, and telecom giants like Verizon in Basking Ridge. Companies such as Johnson & Johnson, Cognizant, and Prudential Financial regularly file H-1B visa petitions for ML engineering roles across the state.
Find Machine Learning Engineer JobsOverview
Showing 5 of 54+ Machine Learning Engineer Jobs in New Jersey with Visa Sponsorship
See all 54+ Machine Learning Engineer Jobs in New Jersey with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Engineer Jobs in New Jersey with Visa Sponsorship.
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.
Machine Learning Engineer Job Roles in New Jersey
See all 54+ Machine Learning Engineer Jobs in New Jersey
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Machine Learning Engineer Jobs in New JerseyMachine Learning Engineer Jobs in New Jersey: Frequently Asked Questions
Which companies sponsor visas for machine learning engineers in New Jersey?
New Jersey's largest H-1B sponsors for machine learning engineers include Cognizant, Johnson & Johnson, Prudential Financial, Verizon, and Merck. Financial technology firms in Jersey City, including those concentrated near the Hudson waterfront, also file regularly. Pharmaceutical companies along the Route 1 corridor in New Brunswick and Princeton frequently sponsor ML engineers working on drug discovery and clinical data modeling.
Which visa types are most common for machine learning engineer roles in New Jersey?
The H-1B is the most common visa for machine learning engineers in New Jersey, given the role's clear specialty occupation classification requiring a bachelor's degree or higher in computer science, statistics, or a related field. Candidates already holding L-1B visas through multinational employers, particularly in the pharmaceutical and telecom sectors, also transfer into New Jersey-based ML roles. The O-1A is an option for engineers with published research or significant industry recognition.
Which cities in New Jersey have the most machine learning engineer sponsorship jobs?
Jersey City leads due to its financial services and tech density directly across from Manhattan. Parsippany, Basking Ridge, and Florham Park host major corporate headquarters with active ML hiring. Princeton and New Brunswick attract machine learning engineers through pharmaceutical research and proximity to Princeton University. Plainsboro and Raritan round out the pharmaceutical corridor, with companies like Novo Nordisk and Johnson & Johnson anchoring consistent sponsorship activity.
How to find machine learning engineer visa sponsorship jobs in New Jersey?
Migrate Mate is built specifically for international candidates searching for visa sponsorship roles, including machine learning engineer positions in New Jersey. You can filter by state and role to see employers with active H-1B sponsorship histories. Because New Jersey's ML market spans pharma, finance, and telecom, filtering by industry on Migrate Mate helps narrow results to sectors most aligned with your background and target employers.
Are there any New Jersey-specific considerations for machine learning engineers seeking visa sponsorship?
New Jersey sits within the New York City metropolitan prevailing wage zone for Department of Labor purposes, which means wage requirements for H-1B petitions reflect one of the higher-cost metropolitan benchmarks in the country. Employers in the pharmaceutical sector in particular tend to work with established immigration counsel and have structured sponsorship processes. Proximity to universities like Princeton, Rutgers, and NJIT also creates OPT-to-H-1B pipelines that some New Jersey employers are experienced navigating.
What is the prevailing wage for sponsored machine learning 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.