Machine Learning Intern Jobs in New Jersey
Machine Learning Intern jobs in New Jersey are concentrated in Princeton, Newark, and Jersey City, where major employers like Johnson & Johnson, Cognizant, and Prudential Financial run active internship programs across data science, natural language processing, and computer vision. New Jersey's dense corridor of pharmaceutical, financial services, and telecommunications firms makes it one of the more active intern markets on the East Coast, with openings at both large headquarters and mid-size research operations. Roles range from first-year undergraduates building foundational pipelines to advanced graduate students working on production model deployment. Find a role that fits below and apply directly.
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Machine Learning Engineer – Recommendation Systems (Consumer Marketing)
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.
Key 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.
Requirements
- 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 – Recommendation Systems (Consumer Marketing)
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.
Key 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.
Requirements
- 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.
See All 19 Machine Learning Intern Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find Machine Learning Intern JobsMachine Learning Intern Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Machine Learning Intern Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Fintech
- Banking & Financial Services
- Investment & Asset Management
- Technology & Software
- Insurance
What New Jersey Employers Look For
The qualifications that appear most often in machine learning intern jobs across New Jersey.
- Currently enrolled in a bachelor's or master's program in computer science, data science, or related field
- Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience building, training, and evaluating supervised or unsupervised machine learning models
- Familiarity with SQL and working with large structured datasets in a cloud environment
- Strong foundation in linear algebra, probability, and statistics as applied to modeling tasks
- Ability to communicate model results and methodology clearly to technical and non-technical stakeholders
Machine Learning Intern Jobs in New Jersey: Frequently Asked Questions
How do you become a machine learning intern in New Jersey?
Machine learning intern roles in New Jersey do not require a state-issued license. The standard path is enrollment in an accredited undergraduate or graduate program in computer science, data science, electrical engineering, or a closely related field at a New Jersey institution such as Rutgers, Princeton, or NJIT. Competitive candidates build a portfolio of project work demonstrating hands-on model development and apply directly to internship programs posted by New Jersey's pharmaceutical, financial, and technology employers.
Which companies hire machine learning interns in New Jersey?
Companies currently hiring machine learning interns in New Jersey include JPMorganChase, ASRC Federal, and BNY, per current listings on Migrate Mate as of September 2026. New Jersey's concentration of pharmaceutical headquarters and financial services firms means many of these opportunities sit within applied research teams rather than dedicated tech divisions.
Which New Jersey cities have the most machine learning intern jobs?
Jersey City, Iselin, and Moorestown have the most machine learning intern openings in New Jersey. Princeton and its surrounding corridor draw volume from major pharmaceutical and research campuses, Newark and Jersey City attract financial services and technology firms with close proximity to New York City, and the Parsippany and Florham Park areas add openings through the large corporate headquarters clustered in Morris County.
Are there remote machine learning intern jobs in New Jersey?
Yes, and more than many technical intern roles, since machine learning work is largely analytical and code-based. About 25% of machine learning intern openings tied to New Jersey are remote or hybrid as of September 2026, reflecting employer flexibility for project-based work. The most remote-friendly assignments tend to involve data preparation, model experimentation, and research tasks rather than work tied to proprietary on-site infrastructure.
How can I get hired as a machine learning intern in New Jersey with little or no experience?
The most realistic entry path is applying to structured summer internship programs that large New Jersey employers, including pharmaceutical companies and insurance firms, run specifically for students with coursework but limited industry experience. Rutgers, Princeton, and NJIT all have employer partnership programs that feed into these pipelines. A strong GitHub portfolio showing completed projects in Python and demonstrated familiarity with a standard framework carries more weight than prior industry experience at this level.
Where can I find and apply to machine learning intern jobs in New Jersey?
You can find and apply to machine learning intern jobs in New Jersey on Migrate Mate, which lists current openings tied to the state. Search the available roles, identify the ones that match your background and target location, and apply directly to the positions that fit.
See All 19 Machine Learning Intern Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
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