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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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 44 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
- JPMorganChase19

- Jobot2

- Versant2

- ASRC Federal2

- Union County College2

Top Industries Hiring
- Fintech
- Investment & Asset Management
- Banking & Financial Services
- Staffing & Recruiting
- Insurance
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 November 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 53% of machine learning openings tied to New Jersey are remote or hybrid as of November 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 44 Machine Learning Jobs in New Jersey
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