Machine Learning Engineer Jobs in New Jersey
Machine Learning Engineer jobs in New Jersey are among the most active in the Northeast, with demand concentrated in financial services, pharmaceuticals, and enterprise technology and openings at every level from early-career through principal engineer. Most hiring is anchored in Jersey City, Newark, and Princeton, where firms like Johnson & Johnson, Prudential Financial, and Cognizant maintain substantial engineering operations. The most in-demand specialties are natural language processing, predictive modeling for financial risk, and MLOps infrastructure. Find a role that fits below and apply directly.
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Role - Machine Learning Expert
(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)
Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our premier client.
About Adidev Technologies Inc.
Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation.
Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience.
Global Presence: Our diverse employee workforce spans four continents.
Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA.
How We'll Guide You
Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients.
Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success.
Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients.
Career Growth: We facilitate industry experience to propel your technical journey forward.
Key Responsibilities:
Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.
Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.
Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.
Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.
Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.
Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.
Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.
Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.
Requirements:
Degree in Computer Science, Engineering, Statistics, or a related technical field.
Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains.
Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings.
Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems.
Strong foundational understanding of algorithmic complexity and data structure optimization.
Excellent problem-solving, collaboration, and communication abilities.
Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI.
Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects.
Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures.
Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices.
Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team.
Ensure all AI implementations are compliant with ethical guidelines and data privacy standards.
How to Apply:
Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise.
Perks and Beyond!
Competitive salary range: Based on experience and market value
Pack your bags! Paid relocation is on us.
We provide support, even from afar, with our remote assistance.
Regular salary reviews? You betcha!
Ready to Embark?
We invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.
Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough
See All 34 Machine Learning Engineer Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find JobsMachine Learning Engineer Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Machine Learning Engineer Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
- JPMorganChase10

- Versant2

- ASRC Federal2

- Union County College2

- BNY1

Top Industries Hiring
- Fintech
- Investment & Asset Management
- Banking & Financial Services
- Insurance
- Food & Beverage
What New Jersey Employers Look For
The qualifications that appear most often in machine learning 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, PyTorch, or scikit-learn
- Experience designing and deploying machine learning models in production environments
- Familiarity with cloud platforms including AWS, Google Cloud, or Microsoft Azure
- Strong background in data preprocessing, feature engineering, and model evaluation methods
- Experience with MLOps practices including pipeline automation, model monitoring, and versioning
Machine Learning Engineer Jobs in New Jersey: Frequently Asked Questions
How do you become a machine learning engineer in New Jersey?
Machine learning engineering has no state-issued license in New Jersey, so the path runs through education and demonstrated technical skill. Most roles require at least a bachelor's degree in computer science, mathematics, or a closely related field, and a master's degree is increasingly expected at mid-level and above. New Jersey employers in pharma and finance place particular weight on hands-on project experience, a strong GitHub portfolio, and familiarity with industry-specific data workflows.
How much do machine learning engineers make in New Jersey?
Machine learning engineers in New Jersey earn a median of about $135,940 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $84,880 for the lowest 10% to over $207,200 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire machine learning engineers in New Jersey?
Employers hiring machine learning engineers in New Jersey right now include JPMorganChase, Versant, and ASRC Federal, based on current listings on Migrate Mate as of November 2026. New Jersey's concentration of pharmaceutical headquarters and financial services firms means many of these roles focus on drug discovery modeling, fraud detection, and risk analytics.
Which New Jersey cities have the most machine learning engineer jobs?
Jersey City, New Jersey, and Iselin have the most machine learning engineer openings in New Jersey. Jersey City and Newark attract financial services and enterprise tech roles tied to proximity to New York City, while Princeton draws heavily from the pharmaceutical and life sciences corridor anchored by companies headquartered along the Route 1 research belt.
Are there remote machine learning engineer jobs in New Jersey?
Yes, and more than most fields. About 57% of machine learning engineer openings tied to New Jersey are remote or hybrid as of November 2026, reflecting how much of the work involves writing code, training models, and analyzing data rather than on-site hardware or lab access. Research-heavy pharma roles are more likely to require some on-site presence, while fintech and enterprise software positions tend to offer the most flexibility.
How can I get hired as a machine learning engineer in New Jersey with little or no experience?
The most realistic entry path is through a data analyst or data engineer role at one of New Jersey's large pharma or financial services employers, then transitioning internally once you've built domain-specific modeling experience. Companies like Merck and Cognizant run rotational or associate programs that include applied analytics tracks. A portfolio of end-to-end projects, a master's degree from a New Jersey institution such as Rutgers or NJIT, and certifications in cloud ML platforms all strengthen a new-entrant's case.
Where can I find and apply to machine learning engineer jobs in New Jersey?
You can find and apply to machine learning engineer jobs in New Jersey on Migrate Mate, which lists current openings across the state. Find roles that fit your background and apply directly to the employers posting them.
See All 34 Machine Learning Engineer Jobs in New Jersey
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