Internship, AI – Agentic & Machine Learning Development
About The Position
The AI – Agentic & Machine Learning Development Internship is a 10-week program at VSP Vision, running June 1, 2027 to August 6, 2027. The intern will partner with experienced professionals and support a cross-functional team, applying AI and machine learning skills to business needs while gaining experience in a multi-faceted organization. The position can be performed remotely from within the United States and requires a private or semi-private workspace, high-speed internet, and availability Monday through Friday for the full program. VSP Vision will provide the required technology. Remote or hybrid interns are expected to remain highly engaged in virtual environments, including maintaining camera presence during meetings. The work centers on designing, developing, testing, and evaluating AI agents, prompts, workflows, and machine learning models using structured and unstructured data. The intern will also create contextual data layers and orchestration frameworks, assess performance and failure cases, and document experiments and insights. Applicants must be currently enrolled and in good standing at an accredited college or university, with at least junior-level standing, in Data Science, AI, Computer Science, or a related field.
Requirements
- Currently enrolled and in good standing at an accredited college or university, with at least junior-level (third-year) standing.
- Pursuing a degree in Data Science, AI, Computer Science, or a related field.
- Able to work remotely within the United States with a private or semi-private workspace.
- Available to participate for the full 10-week program, Monday through Friday.
- Access to high-speed internet; required technology will be provided.
- For remote or hybrid work, demonstrate a high level of engagement in virtual environments, including maintaining camera presence during meetings.
Nice To Haves
- Experience building and refining AI agents using LLMs and multimodal models for tasks such as data exploration, scenario planning, and workflow automation.
- Ability to design prompts and workflows that enable agents to reason, plan, and act autonomously.
- Experience working with structured and unstructured datasets, metadata, and metrics definitions to create a contextual layer that enables agent performance.
- Ability to build, train, and evaluate machine learning models for classification, regression, clustering, and anomaly detection.
- Experience optimizing models for accuracy, efficiency, and scalability using techniques such as hyperparameter tuning and cross-validation.
Responsibilities
- 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.
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What This Job Offers
Career Level
Intern
Education Level
No Education Listed
