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Artificial Intelligence Research Intern Jobs (NOW HIRING)

AI Research Intern We're looking for an AI Research Intern to join our AI team and explore cutting ... Artificial Intelligence, Mathematics, or a related field. * Deep Learning Foundation: Solid ...

FRA conducts advanced research in Artificial Intelligence, Data Science, System Components and ... The intern will collaborate with AI researchers and engineers to develop agent systems that can ...

Research Intern Remote About Ritual Ritual is building a sovereign, execution layer for AI, with ... Intellectually curious about the latest advancements in machine learning, cryptography, and how ...

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Artificial Intelligence Research Intern information

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$2.1K

$6.4K

$7.8K

How much do artificial intelligence research intern jobs pay per month?

As of Aug 9, 2026, the average monthly pay for artificial intelligence research intern in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an artificial intelligence research intern, and why are they important?

To thrive as an Artificial Intelligence Research Intern, you need a solid background in computer science, mathematics, and statistics, typically supported by coursework or a degree in a related field. Familiarity with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and experience with data analysis tools are commonly required. Strong problem-solving abilities, curiosity, and effective communication help you stand out when collaborating with research teams and presenting findings. These skills and qualities are crucial for contributing to innovative AI projects and translating complex research into practical solutions.

What types of projects and collaboration can I expect as an artificial intelligence research intern?

As an Artificial Intelligence Research Intern, you’ll often work on projects that involve developing or optimizing machine learning models, analyzing datasets, or exploring new AI algorithms. You’ll typically collaborate closely with senior researchers, data scientists, and sometimes software engineers, participating in team meetings and code reviews. Interns are encouraged to present findings, contribute to publications, and may have opportunities to work on cross-functional teams, gaining exposure to both theoretical and applied aspects of AI research. This collaborative environment supports learning and provides valuable networking opportunities within the field.

What is the difference between Artificial Intelligence Research Intern vs Data Science Intern?

AspectArtificial Intelligence Research InternData Science Intern
Required CredentialsTypically pursuing or holding a degree in Computer Science, AI, or related fieldsUsually pursuing or holding a degree in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, tech companies, academic institutions focusing on AI developmentBusiness analytics, data analysis teams, tech companies working on data-driven solutions
Employer & Industry UsagePrimarily in AI research projects, R&D departments, academiaIn data analysis, predictive modeling, business intelligence

Artificial Intelligence Research Interns focus on developing and testing AI algorithms and models, often in research settings. Data Science Interns work on analyzing data, building predictive models, and deriving insights. While both roles require strong technical skills and related educational backgrounds, their primary focus and work environments differ.

What does an artificial intelligence research intern do?

An Artificial Intelligence Research Intern assists in the development and evaluation of AI models, algorithms, and applications under the guidance of experienced researchers. Their responsibilities often include literature review, data preprocessing, designing experiments, programming, and analyzing results. Interns may contribute to academic papers, prototype new ideas, and present findings to the team. This role is ideal for students interested in gaining hands-on experience in machine learning, natural language processing, or other AI domains.
What cities are hiring for Artificial Intelligence Research Intern jobs? Cities with the most Artificial Intelligence Research Intern job openings:
What are the most commonly searched types of Artificial Intelligence Research jobs? The most popular types of Artificial Intelligence Research jobs are:
What states have the most Artificial Intelligence Research Intern jobs? States with the most job openings for Artificial Intelligence Research Intern jobs include:
Infographic showing various Artificial Intelligence Research Intern job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $77,274 per year, or $37.2 per hour.

Artificial Intelligence Research Director - Executive Director

JPMorgan Chase & Co

Manhattan, NY

Full-time

Medical, Retirement

Re-posted yesterday


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks


Job description

JPMorganChase AI Research is a global team ofresearch scientists, engineers and product managers that develops novel AI capabilities and partners across the firm to translate breakthrough AI/ML techniques into deployed solutions.The team brings together researchers across multi-agent systems, foundation model training, reinforcement and continual learning, multimodal document AI, formal reasoning, planning and verification, and synthetic data generation - alongside experts in trustworthy AI, privacy, and cryptography - to solve hard problems end-to-end in ways that are secure, reliable, and scalable in financial services.

AI Research sits within the Chief Data & Analytics Office (CDAO) at JPMorganChase which is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the firm's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutionsthat support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management, effectively and responsibly.

As an Executive Director / Research Director in AI Research, you will work on developing novel techniques, tools, and frameworks to model and solve complex large-scale problems in the bank. You will develop a close understanding of the challenges in practical applications of AI and leverage that understanding to formulate new research directions and solutions that can shift the frontier. Your work will span from early-stage innovation and rigorous evaluation to production-scale delivery in close collaboration with engineering and product teams. 

Job responsibilities

  • Work on multiple commercially oriented research projects in collaboration with internal data scientists, applied engineering teams and stakeholders across businesses e.g. Commercial & Investment Banking (including Markets), Asset & Wealth Management, Consumer & Community Banking, etc.

  • Formulate problems, generate hypotheses, develop new algorithms and models, conduct experiments and rigorous evaluations, synthesize and communicate results, and deliver well-tested, high-quality code.

  • Contribute to high-impact business applications, reusable assets and products, and research initiatives.

  • Provide thought leadership on internal and external forums through white papers, publications and presentations. 

  • Own a portfolio of capabilities, drive strategic directions and prioritization within the portfolio including business stakeholder engagement, development of relevant reusable capabilities or products, and initiation of new research initiatives that can drive business impact. 

Required qualifications, capabilities, and skills 

  • PhD in Computer Science, Engineering, or related fields with relevant research experience in AI/ML and 5+ years of relevant work experience

  • Research publications in top-tier AI/ML venues (e.g., conferences, journals) - broad conferences such as NeurIPS, ICML, ICLR, etc., or highly regarded specialized conferences such as ICAPS, CRYPTO, etc. 

  • Deep understanding of fundamental AI/ML techniquesand a strong grasp of current state of the art in specific areas of expertise

  • Practical experience with statistical data analysis, experimental design and creation of meaningful benchmarks and metrics for evaluation.

  • Effective verbal and written communication skills with the ability to address both technical and business audiences.

  • Practical software development experience in collaborative project settings such as open-source projects or industry experience. Ability to deliver modular, optimized, high-quality Python code with tests. 

  • Proven ability to translate business requirements into technical problem formations and deliver novel solutions into production. Motivated to make an impact on problems in the financial services domain. Curiosity, creativity, resourcefulness, and a collaborative spirit

  • We are looking for researchers across multiple areas of specialization, including: Synthetic Data Generation across multiple modalities (tabular, images, time-series, etc.), synthetic personas and agent simulations. Multimodal agent security and safety, alignment, guardrails, red teaming, data privacy and unlearning. Continual learning for agents (e.g. memory-based, model-based including reinforcement learning and post-training). Advanced multi-agent systems including co-ordination, negotiation, deep research, and hybrid / neuro-symbolic approaches .Foundation model training for tabular, time-series, language and other modalities. Multimodal information discovery, understanding and predictive modeling spanning multiple modalities e.g. websites, news, audio, speech, documents, images, etc. Formal methods (e.g., temporal logic, constraint programming, model checking, automated planning, theorem proving, SMT/SAT solving) and program/hardware verification.

Preferred qualifications, capabilities, and skills 

  • Practical experience with ML libraries (e.g. PyTorch, TensorFlow/Keras, HuggingFace Transformers etc.) and agent frameworks (e.g. LangGraph, Google ADK, etc.)

  • Familiarity with common formal verification tools and languages (e.g., Coq/Isabelle/Lean, TLA+, Alloy, Z3, PDDL)

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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

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.

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