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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Join a world-class data science team at JPMorgan Chase and help shape the future of our Chief Administrative Office. As a leader in applied AI and machine learning, you'll have the opportunity to work on high-impact projects that influence the way we do business across multiple domains. Collaborate with talented colleagues, leverage cutting-edge technologies, and see your work make a tangible difference. We value curiosity, technical excellence, and a passion for solving complex problems. If you're ready to accelerate your career and drive meaningful change, we want to hear from you.
As an Applied AI ML, Senior Associate in the Chief Data & Analytics Office, you will lead the development and deployment of innovative AI and machine learning solutions. You will collaborate with cross-functional teams to address complex business challenges, drive adoption of modern ML practices, and ensure responsible AI governance. You will have the opportunity to work with state-of-the-art technologies and contribute to a culture of technical excellence and continuous learning.
Job Responsibilities:
- Lead the hands-on design, development, and deployment of advanced AI, GenAI, and large language model solutions.
- Serve as a subject matter expert on a wide range of machine learning techniques and optimizations.
- Collaborate with product, engineering, and business teams to deliver scalable, production-ready AI systems.
- Conduct experiments using the latest ML technologies, analyze results, and tune models for optimal performance.
- Own end-to-end code development in Python for both proof-of-concept and production-ready solutions.
- Integrate generative AI within the ML platform using state-of-the-art techniques.
- Drive adoption of modern ML infrastructure, tools, and best practices.
- Optimize system accuracy and performance by identifying and resolving inefficiencies.
- Communicate technical concepts and results to both technical and business stakeholders.
- Ensure responsible AI practices, model governance, and compliance with regulatory standards.
Required Qualifications, Capabilities, and Skills:
- Master's or PhD in Computer Science, Engineering, Mathematics, or a related quantitative field.
- Minimum 3 years of hands-on experience in applied machine learning, including generative AI, large language models, or foundation models.
- Experience programming in Python; experience with ML frameworks such as PyTorch or TensorFlow.
- Proven experience designing, training, and deploying large-scale ML/AI models in production environments.
- Understanding of prompt engineering, agentic workflows, and orchestration frameworks.
- Experience with cloud platforms (AWS, Azure, GCP) and distributed systems (Kubernetes, Ray, Slurm).
- Grasp of MLOps tools and practices (MLflow, model monitoring, CI/CD for ML).
- Strong communication skills with the ability to explain complex technical concepts to diverse audiences.
- Experience applying data science and ML techniques to solve business problems.
- Passion for detail, follow-through, and technical excellence.
Preferred Qualifications, Capabilities, and Skills:
- Experience with high-performance computing and GPU infrastructure (e.g., NVIDIA DCGM, Triton Inference).
- Familiarity with big data processing tools and cloud data services.
- Experience with building and deploying ML models on cloud platforms such as AWS Sagemaker, EKS, etc.
#LI-RB3
#CAODA
ABOUT USWe 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.
Join a world-class data science team at JPMorgan Chase and help shape the future of our Chief Administrative Office. As a leader in applied AI and machine learning, you'll have the opportunity to work on high-impact projects that influence the way we do business across multiple domains. Collaborate with talented colleagues, leverage cutting-edge technologies, and see your work make a tangible difference. We value curiosity, technical excellence, and a passion for solving complex problems. If you're ready to accelerate your career and drive meaningful change, we want to hear from you.
As an Applied AI ML, Senior Associate in the Chief Data & Analytics Office, you will lead the development and deployment of innovative AI and machine learning solutions. You will collaborate with cross-functional teams to address complex business challenges, drive adoption of modern ML practices, and ensure responsible AI governance. You will have the opportunity to work with state-of-the-art technologies and contribute to a culture of technical excellence and continuous learning.
Job Responsibilities:
- Lead the hands-on design, development, and deployment of advanced AI, GenAI, and large language model solutions.
- Serve as a subject matter expert on a wide range of machine learning techniques and optimizations.
- Collaborate with product, engineering, and business teams to deliver scalable, production-ready AI systems.
- Conduct experiments using the latest ML technologies, analyze results, and tune models for optimal performance.
- Own end-to-end code development in Python for both proof-of-concept and production-ready solutions.
- Integrate generative AI within the ML platform using state-of-the-art techniques.
- Drive adoption of modern ML infrastructure, tools, and best practices.
- Optimize system accuracy and performance by identifying and resolving inefficiencies.
- Communicate technical concepts and results to both technical and business stakeholders.
- Ensure responsible AI practices, model governance, and compliance with regulatory standards.
Required Qualifications, Capabilities, and Skills:
- Master's or PhD in Computer Science, Engineering, Mathematics, or a related quantitative field.
- Minimum 3 years of hands-on experience in applied machine learning, including generative AI, large language models, or foundation models.
- Experience programming in Python; experience with ML frameworks such as PyTorch or TensorFlow.
- Proven experience designing, training, and deploying large-scale ML/AI models in production environments.
- Understanding of prompt engineering, agentic workflows, and orchestration frameworks.
- Experience with cloud platforms (AWS, Azure, GCP) and distributed systems (Kubernetes, Ray, Slurm).
- Grasp of MLOps tools and practices (MLflow, model monitoring, CI/CD for ML).
- Strong communication skills with the ability to explain complex technical concepts to diverse audiences.
- Experience applying data science and ML techniques to solve business problems.
- Passion for detail, follow-through, and technical excellence.
Preferred Qualifications, Capabilities, and Skills:
- Experience with high-performance computing and GPU infrastructure (e.g., NVIDIA DCGM, Triton Inference).
- Familiarity with big data processing tools and cloud data services.
- Experience with building and deploying ML models on cloud platforms such as AWS Sagemaker, EKS, etc.
#LI-RB3
#CAODA
ABOUT USWe 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 10 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
- Fintech
- Food & Beverage
- Technology & Software
- Banking & Financial Services
- Investment & Asset Management
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, CVS Health, and Campbell's, per current listings on Migrate Mate as of September 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 Camden 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 33% of ai ml intern openings tied to New Jersey are remote or hybrid as of September 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 10 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