Internship, AI – Agentic & Machine Learning Development

Are you an aspiring professional looking to gain hands-on experience and expand your skill set in a real-world business environment? The AI – Agentic & Machine Learning Development Internship offers an exciting opportunity to apply your knowledge, build practical skills, and contribute to meaningful work.

At VSP Vision, we’re on a mission to help people see every possibility—and we do that through our strategic business pillars that connect nearly 90 million patients and their health data to network doctors across the globe.

As the AI – Agentic & Machine Learning Development Intern, you’ll partner with experienced professionals and support a dynamic team across key functions. This role provides exposure to the day-to-day operations of a multi-faceted organization while helping you develop critical business competencies.

Collaborate with cross-functional stakeholders to design and deliver AI and machine learning solutions that address business needs

Develop, test, and optimize AI agents, prompts, workflows, and machine learning models using structured and unstructured data

Create contextual data layers and orchestration frameworks that improve agent and model performance

Evaluate solutions for accuracy, scalability, and effectiveness, including testing edge cases and failure modes

Document experiments, model performance, agent iterations, and key insights to support continuous improvement and knowledge sharing

Job Specifications

Ability to work remotely within the United States, including private or semi-private workspace

Availability to participate for the full 10-week program – Monday through Friday

Access to high-speed internet – Required technology will be provided

For roles that are remote (i.e., Work From Home (WFH)) or hybrid (i.e., partial onsite at a VSP location and WFH), must demonstrate a high level of engagement in virtual environments, including maintaining camera presence during meetings to support effective communication and team alignment

Preferred Skills  

Building and refining AI agents using LLMs and multimodal models for tasks such as data exploration, scenario planning, and workflow automation

Designing prompts and workflows that enable agents to reason, plan, and act autonomously

Working with structured and unstructured datasets, metadata and metrics definitions to create a contextual layer that enables agent performance

Build, train, and evaluate ML models for tasks such as classification, regression, clustering, and anomaly detection

Optimize models for accuracy, efficiency, and scalability using techniques like hyperparameter tuning and cross-validation

Education Level: Currently enrolled and in good standing at an accredited college or university, with at least junior-level (3rd year) standing 

Degree Target: ​Data Science, AI, Computer Science or related field​

Program Dates: June 1, 2027 to August 6, 2027

Compensation range for the role is listed below. Applicable salary ranges may differ across markets. Actual pay will be determined based on experience and other job-related factors permitted by law.

Salary Ranges: $30.50 - $36.50

Unincorporated LA County Residents: Qualified Applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, and any other similar laws.

Notice to Candidates: Fraud Alert - Fake Job Opportunity Solicitations Used to Collect Fees/Personal Information.

We have been made aware that fake job opportunities are being offered by individuals posing as VSP Vision and affiliate recruiters. Click here to learn about our application process and what to watch for regarding false job opportunities.

As a regular part of doing business, VSP Vision (“VSP”) collects many different types of personal information, including protected health information, about our audiences, including members, doctors, clients, brokers, business partners, and employees.  VSP Vision employees will have access to this sensitive personal information and are subject to follow Information Security and Privacy Policies.

About Us