At Franklin Templeton, we’re advancing our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic firm spans asset management, wealth management and fintech, offering many ways to help investors make progress toward their goals. Talented teams working around the globe bring expertise that’s both broad and unique. And our welcoming, respectful and inclusive culture provides opportunities to help you reach your potential while helping our clients reach theirs.

Come join us in delivering better outcomes for our clients around the world!

2026 Undergraduate Summer Intern – Job Posting

Department Title: Undergrad Intern – AI Research

Please read before applying:

Start Date: All interns must start in office and in person on June 8, 2026.

Anticipated End Date: August 14, 2026 – All interns must be in office and in person on their last day to return equipment. Interns must be located in the same location throughout the duration of their internship and are prohibited from returning laptop/equipment to a different office location or shipping their equipment back.

Position Summary: 

The AI Research team works at the intersection of artificial intelligence and finance, building research-driven capabilities that help improve how investment teams discover, evaluate, reason about, and learn from complex financial information. We focus on applied AI problems such as trustworthy reasoning, retrieval and evidence synthesis, multimodal understanding of financial documents, learning from historical outcomes, and human-AI collaboration in high-stakes workflows.

This internship is an opportunity to work on meaningful AI research problems with real-world relevance. The intern will contribute to exploratory research, prototyping, and evaluation efforts that support our broader AI research agenda. Depending on project needs, the intern may help investigate topics such as reasoning over financial evidence, uncertainty and trust in AI outputs, document and data understanding, retrieval and knowledge organization, and learning systems that improve over time.

This role is ideal for a student who is excited by both technical depth and practical impact. The intern will gain exposure to real financial use cases while working on applied AI problems that matter for decision support, knowledge reuse, and research innovation across the firm.

Team Culture:

Our team values curiosity, rigor, experimentation, and clear thinking. We work in a collaborative environment where research ideas are encouraged, assumptions are tested, and insights are shared openly. Team members partner across technical and business domains, combining perspectives from AI, data, engineering, and finance to solve real problems.

We aim to balance strong research fundamentals with practical usefulness. Interns can expect a supportive environment with mentorship, regular feedback, and opportunities to contribute ideas, prototype quickly (using AI tools), and learn how research translates into impact.

An intern in this department can expect to learn:

• How applied AI research is conducted in a financial services environment
• How to frame, test, and evaluate research questions related to trust, reasoning, learning, retrieval, and document intelligence
• How to work with real-world financial data, documents, and workflows to build and assess AI prototypes

Key Responsibilities Can Include:

• Assist with research, prototyping, and experimentation across applied AI topics relevant to finance
• Contribute to literature reviews, technical notes, and research summaries to help the team compare approaches and identify promising directions
• Collaborate with researchers, engineers, and business stakeholders to translate open-ended problems into testable research tasks
• Present findings, prototypes, and recommendations in a clear and structured way

Ideal Qualifications:

• Pursuing an undergraduate or master’s degree in computer science, data science, statistics, mathematics, engineering, finance, quantitative finance, or a related field
• Strong programming skills in Python; familiarity with data analysis and machine learning workflows
• Interest in applied AI research, especially topics such as reasoning, retrieval, NLP, multimodal systems, uncertainty, evaluation, or human-AI interaction
• Comfort working with ambiguous problems and learning new technical concepts quickly
• Interest in financial markets, investment research, or quantitative finance is a plus

Ready to make moves? Apply today!

Please be sure to attach your resume when submitting your application. Applications submitted without a resume will not be considered.

Due to the high volume of applications we receive, we may not be able to respond to each applicant individually. If you're interested in more than one internship, we encourage you to apply to all positions that align with your interests.

This is a full-time internship where students will work approximately 37.5 (dependent on state/location) hours per week and earn competitive hourly pay of $34 (dependent on location and function) USD per hour. There are several factors taken into consideration in making compensation decisions including but not limited to location, job-related knowledge, skills, and experience. At Franklin Templeton, we apply a total reward philosophy where all aspects of compensation and benefits are taken into consideration in determining compensation. 

At Franklin Templeton, we’re advancing our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic firm spans asset management, wealth management, and fintech, offering many ways to help investors make progress toward their goals. Our talented teams working around the globe bring expertise that’s both broad and unique. From our welcoming, inclusive, and flexible culture to our global and diverse business, we provide opportunities to help you reach your potential while helping our clients reach theirs.

Experience our welcoming culture and reach your professional and personal potential!