Machine Learning Manager Jobs in New Jersey
Machine Learning Manager jobs in New Jersey are in strong demand, with concentrated hiring across pharmaceuticals, financial services, and telecommunications and openings at every level from early-career team leads through senior director roles. The most active hiring metros are Jersey City, Princeton, and Parsippany, where established employers like Johnson & Johnson, Prudential Financial, and Cognizant maintain large technical operations. The most sought-after specialties include NLP, MLOps infrastructure, and applied AI for regulated industries such as drug discovery and risk modeling. 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 20 Machine Learning Manager Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find Machine Learning Manager JobsMachine Learning Manager Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Machine Learning Manager 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 manager jobs across New Jersey.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Demonstrated experience leading machine learning or data science teams end-to-end
- Hands-on proficiency with Python, cloud ML platforms such as AWS SageMaker or Azure ML
- Experience deploying production ML models in regulated industries like pharma or financial services
- Strong cross-functional communication skills to translate model outputs for business stakeholders
- Familiarity with MLOps practices including CI/CD pipelines, model monitoring, and version control
Machine Learning Manager Jobs in New Jersey: Frequently Asked Questions
How do you become a machine learning manager in New Jersey?
Machine learning manager roles in New Jersey do not require a state-issued license, so the path runs through education and experience. Most hiring managers in New Jersey expect a bachelor's or master's degree in computer science, statistics, or engineering, followed by several years of hands-on ML engineering or data science work. New Jersey's pharmaceutical and financial services sectors place particular weight on experience with regulated data environments and cross-functional team leadership before considering candidates for management.
Which companies hire machine learning managers in New Jersey?
Employers hiring machine learning managers in New Jersey right now include JPMorganChase, ASRC Federal, and BNY, based on current listings on Migrate Mate as of September 2026. New Jersey's concentration of pharmaceutical headquarters, insurance carriers, and telecom firms means openings frequently appear across a range of regulated and data-intensive industries.
Which New Jersey cities have the most machine learning manager jobs?
The cities with the most machine learning manager openings in New Jersey are Jersey City, Iselin, and Moorestown. Jersey City's proximity to New York financial institutions drives heavy demand, Princeton anchors a dense corridor of pharmaceutical and biotech R&D campuses, and Parsippany hosts regional headquarters for several large technology services and insurance companies that maintain substantial applied AI teams.
Are there remote machine learning manager jobs in New Jersey?
Yes, and more than most fields. About 25% of machine learning manager openings tied to New Jersey are remote or hybrid as of September 2026, reflecting the desk-based and analytical nature of the work. The portions of the role most likely to stay fully remote are model strategy, roadmap planning, and cross-team coordination, while on-site expectations tend to apply when managing embedded product teams or working within regulated lab environments.
How can I get hired as a machine learning manager in New Jersey with little or no experience?
The most realistic entry path is moving into a team-lead position from a senior ML engineer or data scientist role at one of New Jersey's large pharmaceutical or financial services employers. Companies like Merck, Prudential, and Cognizant's New Jersey offices regularly hire associate data scientists and ML engineers into rotational or project-based roles that build the cross-functional exposure needed for management. Building a portfolio of deployed models, contributing to open-source ML tooling, and earning a cloud ML certification strengthens a candidacy before the formal step into management.
Where can I find and apply to machine learning manager jobs in New Jersey?
You can find and apply to machine learning manager jobs in New Jersey on Migrate Mate, which lists current New Jersey openings. Find roles that fit your experience and apply directly.
See All 20 Machine Learning Manager Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
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