AI ML Intern Jobs in Jersey City, NJ
AI ML Intern jobs in Jersey City are concentrated in the Journal Square, Newport, and Exchange Place districts, with strong demand across financial technology, quantitative research, and enterprise software. Employers actively hiring include JPMorganChase and BNY. 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 Jersey City
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Find AI ML Intern JobsAI ML Intern Job Market in Jersey City
Who's Hiring
Top Industries Hiring
- Investment & Asset Management
- Fintech
- Banking & Financial Services
AI ML Intern Jobs in Jersey City: Frequently Asked Questions
How do I get a ai ml intern job in Jersey City?
Candidates who land ai ml intern roles in Jersey City typically target the financial technology firms and quantitative trading shops concentrated in Newport and Exchange Place, where demand for machine learning and data pipeline work is highest. A portfolio of Python or PyTorch projects, familiarity with large-scale datasets, and any experience working with financial or time-series data will set you apart in this market specifically.
Which companies hire ai ml interns in Jersey City?
Jersey City ai ml intern roles are posted by JPMorganChase and BNY and others right now, based on current listings on Migrate Mate as of November 2026. The local employer mix skews heavily toward financial services, quantitative research firms, and technology subsidiaries of large banking groups with offices along the Hudson waterfront.
Are there remote ai ml intern jobs in Jersey City?
Yes, though availability depends on the role's focus. Model training, data annotation, and research-oriented tasks are more commonly offered remotely, while hardware-adjacent or lab-based ML work requires on-site presence. About 0% of ai ml intern openings tied to Jersey City are remote or hybrid as of November 2026, with the most flexible arrangements found in software-first firms rather than in quantitative trading desks.
How can I get a ai ml intern job in Jersey City with little or no experience?
The most realistic entry path in Jersey City is through data analyst or business intelligence internship roles at the city's mid-size fintech and insurance firms, which routinely hire candidates who build toward ML responsibilities on the job. Demonstrating a Kaggle project, a completed Coursera ML specialization, or a GitHub repository with clean, documented code matters more to Jersey City employers than prior formal experience.
Which industries hire the most ai ml interns in Jersey City?
Most ai ml intern openings in Jersey City sit in Investment & Asset Management, Fintech, and Banking & Financial Services, per current listings on Migrate Mate as of November 2026. Jersey City's position directly across from lower Manhattan makes it a natural back-office and innovation hub for financial institutions and trading firms that rely heavily on applied machine learning for risk modeling and algorithmic research.
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