Artificial Intelligence Co-Op/Intern - Summer 2027

The Mosaic Company•Tampa, FL

1d•Hybrid

About The Position

The Artificial Intelligence Co-Op/Intern will support Mosaic’s AI team in building and scaling AI/ML and generative AI solutions that drive business value across key functions. The role involves rapid prototyping, iterative development, and collaboration with data scientists and engineers to move ideas into production. The internship runs from May 10, 2027, to August 20, 2027, and is full time, typically 36–40 hours per week. It is based at Mosaic’s FishHawk site in Lithia, Florida, and is described as in person and hybrid. A 9/80 schedule may apply. The role offers students the opportunity to learn from professionals, work on projects with a global leader, and gain experience supporting AI initiatives.

Requirements

Be a junior or above by May 2027 and be pursuing an undergraduate, master’s, or PhD degree in Computer Science or a closely related field; a Computer Science background is strongly preferred.
Have a GPA of 2.75 or higher.
Be proficient in Python and familiar with common libraries such as pandas, NumPy, scikit-learn, PyTorch, or TensorFlow.
Be comfortable using Git and Jupyter notebooks.
Have coursework, projects, or hands-on experience in machine learning, deep learning, natural language processing, or applied statistics.
Be a fast learner who is intellectually curious, thrives in ambiguity, asks good questions, and picks up new tools and concepts quickly.
Have strong problem-solving skills and the ability to turn ambiguous business problems into structured, testable AI or data approaches.
Have reliable transportation and a valid driver’s license for travel to sites and/or the office.
Be able to work full time and maintain student standing during the co-op or internship.
Successfully complete post-offer/pre-placement drug and alcohol screening, a background check, a physical, and a functional capacity examination.
Have experience working in a team environment.
Have effective verbal and written communication skills, including the ability to explain technical concepts clearly to non-technical audiences.
Be able to safely perform the essential job functions without posing a direct threat to personal or others’ safety.
Be able to lift approximately 0–25 lbs. occasionally.
Be able to climb stairs and work at various heights.
Be able to distinguish varying or specific colors, patterns, or materials.
Be able to hear, read, write, and understand basic English, and see, with or without correction.
Be able to use fine hand motor skills.
Be authorized to work in the United States.

Nice To Haves

Exposure to generative AI/LLMs, including prompting, retrieval-augmented generation (RAG), or agentic workflows.
Exposure to cloud platforms such as Azure, AWS, or GCP.
One to two years of experience volunteering, working with student or school organizations, or working.
Previous internship or co-op experience.

Responsibilities

Build and evaluate machine-learning models, LLM-powered applications, or agentic AI workflows for a scoped business problem.
Document methodology, assumptions, and trade-offs while completing a scoped analysis or prototype, and translate results into actionable recommendations.
Build and document reproducible datasets, training pipelines, or evaluation harnesses.
Define and document cleaning, feature-engineering, prompting, evaluation, and validation processes to support scalability and reliability.
Deliver a final package that may include a summary, visuals, code or notebook, model card, and runbook.
Present insights, limitations, risks, and recommended next steps to technical and business stakeholders.
Collaborate with data scientists, engineers, product managers, and business stakeholders to scope problems and ship solutions.
Participate in department meetings and meetings specific to the project assignment.
Adhere to Mosaic’s mission, guiding principles, priorities, and key competencies.