The AI/ML Partner Intern will support our ESS Global Partnerships team. You will work under the Director of Operations Programs.
Responsibilities:
- Enhance Partner Sales Agent training datasets by expanding data coverage for broader geographical regions incorporating additional use cases and integrating new data assets. This includes fine-tuning large language models (LLMs) to improve accuracy for partner-related workflows.
- Develop new AI-driven agents to address latest needs such as partner discovery partner solution sales pipeline management and advanced analytics for partnership performance insights.
- Research and implement AI solutions that increase productivity improvements for the Partnership Team using automation and workflows to refine operations and reduce manual effort.
- Create and deploy a Partner Onboarding Support Agent for external use aimed at guiding partners through onboarding processes within MyExperian ensuring a seamless and efficient experience.
Qualifications :
- Currently enrolled in a minimum of a Bachelors program in Computer Science Data Engineering or related field of study
- Experience coding in Python
- Return to school in Fall 2026 to complete degree
- Understanding of Agentic AI concepts hands-on experience with large language models (LLMs) and proficiency in engineering principles.
- Coursework or projects involving AI/ML development
Additional Information :
Benefits/Perks:
- This role is hybrid (1-2x a week) with offices in the following locations: Costa Mesa or San Jose CA Scottsdale AZ or NYC.
- Volunteer Time Off
- Great compensation
- Flexible work schedule
- Eligible for 401(k) participation in 90 days
At Experian our people and culture set us apart. Were deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance development wellness collaboration and recognition we focus on what truly matters. Our people-first approach has earned us global recognition: Worlds Best Workplaces 2024 (Fortune Top 25) Great Place To Work 2025 in 26 countries and Glassdoor Best Places to Work 2024 among others.
Want to see what life at Experian is really like Explore Experian Life on social or visit our Careers Site.
Our compensation reflects the cost of labor across several U.S. geographic markets. The hourly pay range for this position is listed above. Within this range individual pay is determined by work location and additional factors such as job-related skills experience and education.
Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal state and local law including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.
#LI-Hybrid #EarlyCareers
This is a hybrid role.
Remote Work :
Yes
Employment Type :
Intern
The AI/ML Partner Intern will support our ESS Global Partnerships team. You will work under the Director of Operations Programs.Responsibilities:Enhance Partner Sales Agent training datasets by expanding data coverage for broader geographical regions incorporating additional use cases and integratin...
The AI/ML Partner Intern will support our ESS Global Partnerships team. You will work under the Director of Operations Programs.
Responsibilities:
- Enhance Partner Sales Agent training datasets by expanding data coverage for broader geographical regions incorporating additional use cases and integrating new data assets. This includes fine-tuning large language models (LLMs) to improve accuracy for partner-related workflows.
- Develop new AI-driven agents to address latest needs such as partner discovery partner solution sales pipeline management and advanced analytics for partnership performance insights.
- Research and implement AI solutions that increase productivity improvements for the Partnership Team using automation and workflows to refine operations and reduce manual effort.
- Create and deploy a Partner Onboarding Support Agent for external use aimed at guiding partners through onboarding processes within MyExperian ensuring a seamless and efficient experience.
Qualifications :
- Currently enrolled in a minimum of a Bachelors program in Computer Science Data Engineering or related field of study
- Experience coding in Python
- Return to school in Fall 2026 to complete degree
- Understanding of Agentic AI concepts hands-on experience with large language models (LLMs) and proficiency in engineering principles.
- Coursework or projects involving AI/ML development
Additional Information :
Benefits/Perks:
- This role is hybrid (1-2x a week) with offices in the following locations: Costa Mesa or San Jose CA Scottsdale AZ or NYC.
- Volunteer Time Off
- Great compensation
- Flexible work schedule
- Eligible for 401(k) participation in 90 days
At Experian our people and culture set us apart. Were deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance development wellness collaboration and recognition we focus on what truly matters. Our people-first approach has earned us global recognition: Worlds Best Workplaces 2024 (Fortune Top 25) Great Place To Work 2025 in 26 countries and Glassdoor Best Places to Work 2024 among others.
Want to see what life at Experian is really like Explore Experian Life on social or visit our Careers Site.
Our compensation reflects the cost of labor across several U.S. geographic markets. The hourly pay range for this position is listed above. Within this range individual pay is determined by work location and additional factors such as job-related skills experience and education.
Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal state and local law including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.
#LI-Hybrid #EarlyCareers
This is a hybrid role.
Remote Work :
Yes
Employment Type :
Intern
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