Artificial Intelligence Co-Op/Intern
The Mosaic Company
Greater Tampa Bay Area0–2 yrs1h agovia LinkedIn
Posted 15 Nov 2026, 04:34 ET
This job at a glance
- Who can apply
- New grads and up to 2 years
- Must know
- SpringMachine learningStakeholder managementProduct managementPythonPyTorch
- Nice to have
- LLMsAWSAzureGCP
- Work
- On-site in Greater Tampa Bay Area · internship
- Pay
- Not stated by the employer.
- Skill demand
- Machine learning42%Stakeholder management29%Product management15%Spring5%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 15, 2026 · still open
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About the Role
The Mosaic Company is seeking an Artificial Intelligence Co-Op/Intern for Spring 2027. This role will support Mosaic’s AI team in building and scaling AI/ML and GenAI solutions. The position is a full-time Co-Op/Internship from January 11th, 2027, to April 23rd, 2027, with typical hours of 36-40 per week. The work location is the FishHawk site in Lithia, FL.
Key Responsibilities
- Build & Prototype AI Solutions: Develop and evaluate ML models, LLM-powered applications, or agentic AI workflows. Document methodology, assumptions, trade-offs, and translate results into actionable recommendations.
- Develop Reproducible AI/Data Workflows: Build and document reproducible datasets, training pipelines, or evaluation harnesses. Define and document cleaning, feature engineering, prompt/evaluation, and validation processes.
- Package & Communicate Results: Deliver a final package including summaries, visuals, code/notebooks, model cards, and runbooks. Present key insights, limitations, risks, and recommended next steps to technical and business stakeholders.
- Collaborate across the organization, partnering with data scientists, engineers, product managers, and business stakeholders.
- Participate in department meetings and project-specific meetings.
- Adhere to Mosaic’s mission, guiding principles, priorities, and key competencies.
Requirements & Tech Stack
- Python proficiency and familiarity with common libraries like pandas, NumPy, scikit-learn, PyTorch, or TensorFlow.
- Comfort with Git and Jupyter notebooks.
- Experience with machine learning, deep learning, NLP, or applied statistics.
- Exposure to Generative AI / LLMs (prompting, RAG, agentic workflows) is a strong plus.
- Exposure to cloud platforms like Azure, AWS, or GCP is a strong plus.
Qualifications
- Junior level or above by January 2027.
- Pursuing a degree in Computer Science or a closely related field (Data Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, or Computer/Software Engineering). Computer Science background is strongly preferred.
- 2.75 GPA or higher.
- 1-2 years of experience volunteering, working with student/school organizations, or work is preferred.
- Previous internship or co-op experience is preferred.
- Experience working in a team environment is a must.
- Effective verbal and written communication skills, with the ability to explain technical concepts clearly to non-technical audiences.
- Nimble, sharp, and intellectually curious, with a fast learning ability and aptitude for picking up new tools and concepts.
- Strong problem-solving skills and the ability to break down ambiguous business problems into structured, testable AI/data approaches.
- Reliable transportation and valid driver’s license for travel to and from sites/office.
- Ability to work full-time and be a student in good standing during the co-op/internship period.
- Must be authorized to work in the United States.
- Selected candidates will be required to successfully complete post-offer/pre-placement drug and alcohol screening, background check, physical, and functional capacity examination.