ML Engineer Jobs in New Jersey
ML Engineer jobs in New Jersey are in strong demand, with concentrated hiring across pharmaceuticals, financial services, and telecommunications and openings at every level from entry-level to principal engineer. The most active hiring metros are Jersey City, Princeton, and Parsippany, where established employers like Johnson & Johnson, Prudential Financial, and Comcast Technology Solutions maintain significant technical operations. The most sought-after specialties in New Jersey right now are natural language processing, computer vision, and MLOps infrastructure. 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 26 ML Engineer Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find ML Engineer JobsML Engineer Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
ML Engineer 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 ML engineer 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
- Hands-on experience building, training, and deploying production machine learning models
- Familiarity with cloud platforms including AWS, Azure, or Google Cloud for ML workloads
- Experience with MLOps practices, model monitoring, and CI/CD pipelines for model deployment
- Strong background in data preprocessing, feature engineering, and statistical model evaluation
ML Engineer Jobs in New Jersey: Frequently Asked Questions
How do you become a ml engineer in New Jersey?
ML engineering in New Jersey requires no state-issued license, so the hiring path centers on education and demonstrated skills. Most New Jersey employers expect a bachelor's degree at minimum, with many preferring a master's in computer science, data science, or a related field. Building a portfolio of end-to-end ML projects, contributing to open-source work, and earning cloud certifications from AWS or Google strengthens candidacy significantly with the state's pharmaceutical and financial services employers.
Which companies hire ml engineers in New Jersey?
Employers hiring ml engineers in New Jersey right now include JPMorganChase, Versant, and ASRC Federal, based on current listings on Migrate Mate as of September 2026. New Jersey's dense concentration of pharmaceutical, financial services, and telecom headquarters means demand is spread across both large enterprise teams and specialized research divisions.
Which New Jersey cities have the most ml engineer jobs?
Jersey City, New Jersey, and Iselin have the most ml engineer openings in New Jersey. Jersey City's concentration of financial services firms drives volume there, while Princeton anchors research-heavy roles tied to pharmaceutical and biotech campuses, and Parsippany serves as a corporate hub for technology and professional services companies with significant ML teams.
Are there remote ml engineer jobs in New Jersey?
Yes, and more than most fields. About 45% of ml engineer openings tied to New Jersey are remote or hybrid as of September 2026, reflecting how well the work translates to distributed environments. Model development, research, and data pipeline work are the functions most commonly offered fully remote, while roles requiring close collaboration with hardware teams or regulated data environments tend to require on-site presence.
How can I get hired as a ml engineer in New Jersey with little or no experience?
The most realistic entry path is through a data analyst or software engineer role at a New Jersey employer that runs internal ML projects, then transitioning once you have hands-on model exposure. Large pharmaceutical employers like Johnson & Johnson and Merck run rotational technology programs and new-grad associate roles that include ML components. Building a public portfolio demonstrating a complete model pipeline, from data ingestion through deployment, gives candidates a concrete edge with New Jersey hiring managers who screen for applied experience over credentials alone.
Where can I find and apply to ml engineer jobs in New Jersey?
You can find and apply to ml engineer jobs in New Jersey on Migrate Mate, which lists current openings from employers hiring in the state right now. Search the available roles, find the ones that fit your background and target location, and apply directly to each one.
See All 26 ML Engineer Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
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