Senior ML Engineer Jobs in New Jersey
Senior ML Engineer jobs in New Jersey are among the most active in the Northeast, with strong demand concentrated in pharmaceuticals, financial services, and telecommunications, and openings ranging from senior individual contributors to staff and principal-level roles. The heaviest hiring clusters around Newark, Jersey City, and Princeton, where established employers like Johnson & Johnson, Cognizant, and Prudential Financial maintain large technical operations. The most in-demand specialties include large language model development, MLOps and model deployment pipelines, and applied NLP for regulated industries. 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 22 Senior ML Engineer Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find Senior ML Engineer JobsSenior ML Engineer Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Senior 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 senior ML engineer jobs across New Jersey.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Five or more years of experience building and deploying production machine learning models
- Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or scikit-learn
- Hands-on experience with MLOps tooling including model versioning, monitoring, and CI/CD pipelines
- Experience working with large-scale data infrastructure such as Spark, Databricks, or cloud ML platforms
- Strong communication skills for collaborating with cross-functional teams and presenting model findings to stakeholders
Senior ML Engineer Jobs in New Jersey: Frequently Asked Questions
How do you become a senior ml engineer in New Jersey?
Senior ml engineer roles in New Jersey require a bachelor's degree at minimum, though most employers in pharma and financial services prefer a master's or PhD in computer science, statistics, or a related field. There is no state-issued license for this role, but candidates advance by building a portfolio of deployed production models, earning cloud certifications from AWS, Google, or Azure, and accumulating hands-on experience in regulated industries like life sciences or insurance, which are dominant in New Jersey.
How much do senior ML engineers make in New Jersey?
Senior ML engineers in New Jersey earn a median of about $108,310 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $48,380 for the lowest 10% to over $207,950 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior ml engineers in New Jersey?
Employers hiring senior ml engineers 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, major financial services firms, and large telecommunications carriers makes it a particularly consistent source of senior-level ML openings year-round.
Which New Jersey cities have the most senior ml engineer jobs?
Jersey City, Iselin, and Moorestown have the most senior ml engineer openings in New Jersey. Newark and Jersey City attract demand from financial services and consulting firms with Manhattan-adjacent operations, while Princeton draws heavily from pharmaceutical and biotech R&D centers that have long anchored that corridor.
Are there remote senior ml engineer jobs in New Jersey?
Yes, and more than most fields. About 25% of senior ml engineer openings tied to New Jersey are remote or hybrid as of September 2026, reflecting how well this work travels outside a physical office. Model development, experimentation, and pipeline work are the most remote-friendly components, while on-site presence is sometimes required for regulated industries like pharma that have stricter data governance needs.
How can I get hired as a senior ml engineer in New Jersey with little or no experience?
The most realistic entry path is through a machine learning engineer or data scientist associate role at one of New Jersey's large pharma or financial services employers, which regularly hire new graduates for rotational or apprenticeship-style programs. Companies like Johnson & Johnson and Prudential Financial run structured early-career technical programs. Building an applied portfolio on public datasets, contributing to open-source ML projects, and earning a cloud ML certification from AWS or Google significantly strengthens candidacy for those entry-level positions.
Where can I find and apply to senior ml engineer jobs in New Jersey?
You can find and apply to senior ml engineer jobs in New Jersey on Migrate Mate, which lists current openings in the state. Search the available roles, find the ones that match your background and preferred location or work arrangement, and apply directly to the ones that fit.
See All 22 Senior ML Engineer Jobs in New Jersey
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