Machine Learning Intern Jobs in New Jersey
Machine Learning Intern jobs in New Jersey are concentrated in Princeton, Newark, and Jersey City, where major employers like Johnson & Johnson, Cognizant, and Prudential Financial run active internship programs across data science, natural language processing, and computer vision. New Jersey's dense corridor of pharmaceutical, financial services, and telecommunications firms makes it one of the more active intern markets on the East Coast, with openings at both large headquarters and mid-size research operations. Roles range from first-year undergraduates building foundational pipelines to advanced graduate students working on production model deployment. 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 26 Machine Learning Intern Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find Machine Learning Intern JobsMachine Learning Intern Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Machine Learning Intern Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Fintech
- Investment & Asset Management
- Banking & Financial Services
- Insurance
- Chemicals & Materials
What New Jersey Employers Look For
The qualifications that appear most often in machine learning intern jobs across New Jersey.
- Currently enrolled in a bachelor's or master's program in computer science, data science, or related field
- Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience building, training, and evaluating supervised or unsupervised machine learning models
- Familiarity with SQL and working with large structured datasets in a cloud environment
- Strong foundation in linear algebra, probability, and statistics as applied to modeling tasks
- Ability to communicate model results and methodology clearly to technical and non-technical stakeholders
Machine Learning Intern Jobs in New Jersey: Frequently Asked Questions
How do you become a machine learning intern in New Jersey?
Machine learning intern roles in New Jersey do not require a state-issued license. The standard path is enrollment in an accredited undergraduate or graduate program in computer science, data science, electrical engineering, or a closely related field at a New Jersey institution such as Rutgers, Princeton, or NJIT. Competitive candidates build a portfolio of project work demonstrating hands-on model development and apply directly to internship programs posted by New Jersey's pharmaceutical, financial, and technology employers.
Which companies hire machine learning interns in New Jersey?
Companies currently hiring machine learning interns in New Jersey include JPMorganChase, ASRC Federal, and Union County College, per current listings on Migrate Mate as of November 2026. New Jersey's concentration of pharmaceutical headquarters and financial services firms means many of these opportunities sit within applied research teams rather than dedicated tech divisions.
Which New Jersey cities have the most machine learning intern jobs?
Jersey City, New Jersey, and Iselin have the most machine learning intern openings in New Jersey. Princeton and its surrounding corridor draw volume from major pharmaceutical and research campuses, Newark and Jersey City attract financial services and technology firms with close proximity to New York City, and the Parsippany and Florham Park areas add openings through the large corporate headquarters clustered in Morris County.
Are there remote machine learning intern jobs in New Jersey?
Yes, and more than many technical intern roles, since machine learning work is largely analytical and code-based. About 40% of machine learning intern openings tied to New Jersey are remote or hybrid as of November 2026, reflecting employer flexibility for project-based work. The most remote-friendly assignments tend to involve data preparation, model experimentation, and research tasks rather than work tied to proprietary on-site infrastructure.
How can I get hired as a machine learning intern in New Jersey with little or no experience?
The most realistic entry path is applying to structured summer internship programs that large New Jersey employers, including pharmaceutical companies and insurance firms, run specifically for students with coursework but limited industry experience. Rutgers, Princeton, and NJIT all have employer partnership programs that feed into these pipelines. A strong GitHub portfolio showing completed projects in Python and demonstrated familiarity with a standard framework carries more weight than prior industry experience at this level.
Where can I find and apply to machine learning intern jobs in New Jersey?
You can find and apply to machine learning intern jobs in New Jersey on Migrate Mate, which lists current openings tied to the state. Search the available roles, identify the ones that match your background and target location, and apply directly to the positions that fit.
See All 26 Machine Learning Intern Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find Machine Learning Intern Jobs