À propos de ce poste Internship, AI – Agentic & Machine Learning Development chez VSP Vision
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
#LI-VISIONCARE
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
VSP Vision is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to age, gender, race, color, religion, sex, national origin, disability or protected veteran status. We maintain a drug-free workplace and perform pre-employment substance abuse testing.
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.
