AI ML Intern Jobs in New Jersey
AI ML Intern jobs in New Jersey draw strong demand from one of the country's most concentrated technology and pharmaceutical corridors, with openings across biopharma research, financial services, and enterprise software development at the undergraduate and early graduate level. Princeton, Newark, and Jersey City account for the heaviest hiring volume, anchored by established names like Johnson and Johnson, Cognizant, and Prudential Financial. The most sought-after specialties are natural language processing, computer vision, and predictive analytics applied to drug discovery and risk modeling. Find a role that fits below and apply directly.
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Showing 5 of 15+ AI ML Intern jobs
- Lead end-to-end generative AI and agentic AI initiatives from problem framing and experimentation through production release and measurable adoption.
- Design and evaluate foundation-model approaches, including model selection, fine-tuning strategies, retrieval and context design, and safety controls.
- Establish rigorous evaluation practices (quality, robustness, latency, cost, and risk) and translate results into clear recommendations and roadmaps.
- Build and operationalize production-grade machine learning and generative AI services using sound engineering practices, monitoring, and incident-ready controls.
- Define and drive semantic consistency across systems by leading semantic modeling standards and lifecycle governance in partnership with domain experts.
- Implement integration patterns that align data pipelines, application interfaces, and user experiences to reduce semantic conflicts and increase trust in outcomes.
- Partner with cross-functional leaders to define success metrics, manage trade-offs, and deliver outcomes aligned to business priorities and oversight expectations.
- Mentor and develop engineers and data scientists through technical leadership, reviews, and coaching to raise team capability and delivery velocity.
- Communicate complex technical concepts to both technical and non-technical audiences, influencing decisions through clarity, evidence, and pragmatism.
- Master's degree in computer science, engineering, statistics, or a related quantitative discipline.
- 7+ years of applied experience building and deploying machine learning and generative AI solutions in production environments.
- Strong proficiency in Python and modern machine learning frameworks (for example, PyTorch).
- Demonstrated ability to lead experimentation and evaluation, including defining metrics, running controlled comparisons, and documenting results for stakeholders.
- Experience deploying and operating models in production, including performance optimization, monitoring, and reliability trade-offs.
- Working knowledge of responsible AI practices, model risk concepts, and governance controls suitable for regulated environments.
- Strong software engineering fundamentals, including version control, code review, testing, and maintainable design.
- Proven ability to partner across product, engineering, and business stakeholders to translate ambiguous needs into clear outcomes and delivery plans.
- PhD in a relevant quantitative field or demonstrated applied research impact in machine learning or generative AI.
- Publications, patents, or open-source contributions that demonstrate research depth and practical impact.
- Hands-on experience with transformer-based architectures, large-scale training or fine-tuning, and GPU-enabled development workflows.
- Experience building agentic AI systems (tool use, orchestration, planning, and workflow automation) with strong evaluation discipline.
- Familiarity with semantic modeling, ontologies, or semantic-layer design to improve consistency across analytics and AI use cases.
- Experience applying AI solutions within financial services or other highly regulated industries.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
- Lead end-to-end generative AI and agentic AI initiatives from problem framing and experimentation through production release and measurable adoption.
- Design and evaluate foundation-model approaches, including model selection, fine-tuning strategies, retrieval and context design, and safety controls.
- Establish rigorous evaluation practices (quality, robustness, latency, cost, and risk) and translate results into clear recommendations and roadmaps.
- Build and operationalize production-grade machine learning and generative AI services using sound engineering practices, monitoring, and incident-ready controls.
- Define and drive semantic consistency across systems by leading semantic modeling standards and lifecycle governance in partnership with domain experts.
- Implement integration patterns that align data pipelines, application interfaces, and user experiences to reduce semantic conflicts and increase trust in outcomes.
- Partner with cross-functional leaders to define success metrics, manage trade-offs, and deliver outcomes aligned to business priorities and oversight expectations.
- Mentor and develop engineers and data scientists through technical leadership, reviews, and coaching to raise team capability and delivery velocity.
- Communicate complex technical concepts to both technical and non-technical audiences, influencing decisions through clarity, evidence, and pragmatism.
- Master's degree in computer science, engineering, statistics, or a related quantitative discipline.
- 7+ years of applied experience building and deploying machine learning and generative AI solutions in production environments.
- Strong proficiency in Python and modern machine learning frameworks (for example, PyTorch).
- Demonstrated ability to lead experimentation and evaluation, including defining metrics, running controlled comparisons, and documenting results for stakeholders.
- Experience deploying and operating models in production, including performance optimization, monitoring, and reliability trade-offs.
- Working knowledge of responsible AI practices, model risk concepts, and governance controls suitable for regulated environments.
- Strong software engineering fundamentals, including version control, code review, testing, and maintainable design.
- Proven ability to partner across product, engineering, and business stakeholders to translate ambiguous needs into clear outcomes and delivery plans.
- PhD in a relevant quantitative field or demonstrated applied research impact in machine learning or generative AI.
- Publications, patents, or open-source contributions that demonstrate research depth and practical impact.
- Hands-on experience with transformer-based architectures, large-scale training or fine-tuning, and GPU-enabled development workflows.
- Experience building agentic AI systems (tool use, orchestration, planning, and workflow automation) with strong evaluation discipline.
- Familiarity with semantic modeling, ontologies, or semantic-layer design to improve consistency across analytics and AI use cases.
- Experience applying AI solutions within financial services or other highly regulated industries.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
See All 15 AI ML Intern Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find AI ML Intern JobsAI ML Intern Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
AI ML Intern Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Investment & Asset Management
- Fintech
- Food & Beverage
- Technology & Software
- Banking & Financial Services
What New Jersey Employers Look For
The qualifications that appear most often in AI ML intern jobs across New Jersey.
- Currently enrolled in a bachelor's or master's degree program in computer science or related field
- Hands-on experience with Python and core machine learning libraries such as TensorFlow or PyTorch
- Familiarity with data preprocessing, feature engineering, and model evaluation techniques
- Exposure to cloud platforms such as AWS, Google Cloud, or Microsoft Azure for ML workflows
- Strong foundation in linear algebra, probability, and statistics relevant to ML applications
- Ability to communicate technical findings clearly to both technical and non-technical stakeholders
AI ML Intern Jobs in New Jersey: Frequently Asked Questions
How do you become a ai ml intern in New Jersey?
Most AI ML intern roles in New Jersey require current enrollment in a computer science, data science, or engineering program at a four-year university or graduate school, with no state-issued license needed for the role itself. New Jersey's dense concentration of research universities, including Rutgers and Princeton, and its proximity to major biopharma and fintech employers means that relevant coursework, personal projects, and faculty research connections are the primary hiring criteria. A strong GitHub portfolio demonstrating applied ML work gives candidates a meaningful edge.
Which companies hire ai ml interns in New Jersey?
Companies currently hiring ai ml interns in New Jersey include JPMorganChase, BNY, and 1Kosmos, per current listings on Migrate Mate as of November 2026. New Jersey's biopharma corridor along Route 1 and its financial services hubs in Newark and Jersey City mean that demand comes from both life sciences research teams and quantitative analytics groups at major institutions.
Which New Jersey cities have the most ai ml intern jobs?
Jersey City, New Jersey, and Avenel have the most ai ml intern openings in New Jersey. Princeton and the Route 1 corridor draw volume from large pharmaceutical and tech campuses, Newark benefits from its proximity to major financial services and insurance headquarters, and Jersey City's growing fintech and enterprise technology sector adds consistent demand for interns focused on data modeling and predictive systems.
Are there remote ai ml intern jobs in New Jersey?
Yes, and more than most fields. About 67% of ai ml intern openings tied to New Jersey are remote or hybrid as of November 2026, reflecting the largely computational and project-based nature of the work. Tasks involving model development, data analysis, and code review are well-suited to remote arrangements, though internships at biopharma labs or hardware-adjacent teams are more likely to require on-site presence.
How can I get hired as a ai ml intern in New Jersey with little or no experience?
The most realistic entry path is applying to structured summer intern programs at New Jersey's large biopharma and financial services employers, which routinely recruit undergraduates with limited professional experience but strong academic foundations. Johnson and Johnson, Prudential Financial, and Cognizant all run recurring early-talent programs that accept candidates from Rutgers, NJIT, and Stevens Institute of Technology. Building a portfolio of end-to-end ML projects on publicly available datasets and completing an industry-recognized certificate in machine learning significantly improves candidacy when direct experience is limited.
Where can I find and apply to ai ml intern jobs in New Jersey?
You can find and apply to ai ml intern jobs in New Jersey on Migrate Mate, which lists current New Jersey openings from employers actively hiring for the role. Search the available positions, find roles that match your background and target location, and apply directly to the ones that fit.
See All 15 AI ML Intern Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find AI ML Intern Jobs