FTT Digital Technology at Franklin Templeton in San Ramon, CA

FTT Digital Technology Location: San Ramon, California, United States of America 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 – Digital Technology 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: Research, development, and application of AI technologies to support use cases and workflows of FT internal clients. •    Fine-tuning LLM and deep learning models for various applications •    Evaluating the quality of third-party AI platforms •    Performing ad-hoc analyzes of product usage •    Developing reports detailing model strengths and weaknesses •    Preparing materials for engagement meetings with stakeholders Team Culture: Projects within FTT’s Digital Technology AI group are internal to FT and span the entire organization, including its investment managers. The team consists of a wide range of engineers with a variety of skillsets across the application stack, enabling a diverse, supportive, and collaborative engineering environment. The product and research teams are cross functional, comprising multiple areas, including product, engineering, and AI. These teams directly interact with stakeholders from both internal leadership and partner teams, building custom AI-driven solutions. Each unique product offering leverages a variety of datasets following data governance guidelines. An intern in this department can expect to learn: •    Fundamentals and applications of LLM technologies in finance •    Data modeling and system design for AI/ML applications •    Understanding the product development lifecycle •    Building dashboards and reports to detail product usage and adoption •    Effective communication of methods and results to technical and non-technical stakeholders •    End-to-end involvement in AI/ML applications from product inception to production Key Responsibilities Can Include: •    Build RAGs, fine-tune LLMs, and engineer prompts for a variety of use cases •    Evaluate and monitor LLM performance •    Perform ad-hoc reporting and data analysis •    Clean and pre-process datasets •    Contribute to the design and documentation of system architectures Ideal Qualifications: •    Experience developing and debugging in Python (Consuming APIs, data science and ML libraries) •    Exposure to ML and LLM technologies and applications •    Curious nature with a willingness and eagerness to learn •    Data analysis expertise 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 35 – 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! Our culture is shaped by the variety of perspectives and experiences brought by talent from around the world. Regardless of your interests, lifestyle, or background, there’s a place for you at Franklin Templeton. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life. Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation. If you believe that you need an accommodation or adjustment to search for or apply for one of our positions, please send an email to accommodations@franklintempleton.com. In your email, please include the accommodation or adjustment you are requesting, the job title, and the job number you are applying for. It may take up to three business days to receive a response to your request. Please note that only accommodation requests will receive a response.