Machine Learning Jobs in New Jersey
Machine Learning jobs in New Jersey are in strong demand, concentrated in pharmaceutical R&D, financial services, and telecommunications, with openings at every level from junior ML engineer through principal research scientist. The heaviest hiring is in and around Princeton, Jersey City, and Parsippany, where employers like Johnson & Johnson, Cognizant, and Prudential Financial maintain large technical operations. The most sought-after specialties in New Jersey right now are natural language processing, computer vision, and MLOps engineering. 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 33 Machine Learning Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find Machine Learning JobsMachine Learning Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Machine Learning Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
- JPMorganChase13
- Jobot2
- Versant2
- ASRC Federal2
- BNY1
Top Industries Hiring
- Fintech
- Banking & Financial Services
- Investment & Asset Management
- Technology & Software
- Staffing & Recruiting
What New Jersey Employers Look For
The qualifications that appear most often in machine learning jobs across New Jersey.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch
- Experience designing, training, and deploying predictive models in production environments
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model deployment
- Strong understanding of data preprocessing, feature engineering, and model evaluation techniques
- Ability to communicate findings clearly to non-technical business stakeholders
Machine Learning Jobs in New Jersey: Frequently Asked Questions
How do you become a machine learning engineer in New Jersey?
Machine learning roles in New Jersey require no state-issued license, so hiring is driven by education and demonstrated skills. Most employers expect at least a bachelor's degree in computer science, mathematics, or a closely related field, with a master's degree preferred for research-heavy positions. Building a portfolio of projects on public repositories, completing recognized ML certifications, and targeting New Jersey's large pharma and fintech employers are the most direct paths into the field here.
Which companies hire machine learning engineers in New Jersey?
Employers hiring machine learnings in New Jersey right now include JPMorganChase, Jobot, and Versant, based on current listings on Migrate Mate as of September 2026. New Jersey's dense concentration of pharmaceutical headquarters and financial services firms means many of these roles sit within large enterprise R&D and data science teams rather than early-stage startups.
Which New Jersey cities have the most machine learning jobs?
The cities with the most machine learning openings in New Jersey are Jersey City, New Jersey, and Iselin. Princeton anchors much of the demand through its university research ecosystem and nearby pharma campuses, Jersey City draws fintech and asset management firms just across from Manhattan, and Parsippany serves as a corporate hub for several large technology and life sciences operations that maintain significant data science headcount.
Are there remote machine learning jobs in New Jersey?
Yes, and more than most fields. About 43% of machine learning openings tied to New Jersey are remote or hybrid as of September 2026, reflecting how well the work translates to distributed environments. Model development, experimentation, and data analysis are the tasks most commonly performed fully remotely, while production deployment and stakeholder collaboration roles tend to require at least some on-site presence.
How can I get hired as a machine learning engineer in New Jersey with little or no experience?
The most realistic entry path is an associate ML engineer or junior data scientist role at one of New Jersey's large pharmaceutical or financial services employers, several of which run rotational new-graduate programs in data and analytics. Building a portfolio of end-to-end projects, contributing to open-source repositories, and earning a recognized credential such as an AWS Machine Learning Specialty or Google Professional ML Engineer certification all improve competitiveness. Lateral moves from data analyst or software engineering roles at New Jersey employers are also a common on-ramp into machine learning teams.
Where can I find and apply to machine learning jobs in New Jersey?
You can find and apply to machine learning jobs in New Jersey on Migrate Mate, which lists current New Jersey openings across industries and seniority levels. Find the roles that fit your background and apply directly from each listing.
See All 33 Machine Learning Jobs in New Jersey
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