Artificial Intelligence Co-Op/Intern - Spring 2027

The Mosaic Company (NYSE: MOS) is the world’s leading integrated producer of concentrated phosphate and potash—two of the three most important nutrients in agriculture. We employ more than 13,000 people in six countries to serve farmers all over the world. Our Headquarters is in Lithia, Florida with operations throughout North America (U.S./Canada) and South America.

At Mosaic We Help the World Grow the Food it Needs - Apply today and join our team!

Artificial Intelligence Co-Op/Intern - Spring 2027

Where will you work: FishHawk site located at 13830 Circa Crossing Drive. Lithia, FL, 33547

An Artificial Intelligence Co-Op/Intern will support Mosaic’s AI team in building and scaling AI/ML and GenAI solutions that drive business value across key functions. This role involves rapid prototyping, iterative development, and collaboration with data scientists and engineers to move ideas into production. Our student opportunities allow you to learn from professionals, offer competitive pay, an opportunity to work with a global leader on exciting projects and much more.

Term

January 11th, 2027 to April 23th, 2027

Full time Co-Op/Internship. Typically, 36-40 hours a week.

In person, Hybrid. 9/80 schedule if applicable.

What you’ll do:

Build & Prototype AI Solutions

Develop and evaluate ML 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, then clearly 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 to ensure scalability and reliability, while building reproducible datasets or pipelines.

Package & Communicate Results

Deliver a final package (summary, visuals, code/notebook, model card, runbook)

Present key insights, limitations, risks, and recommended next steps to both technical and business stakeholders, and deliver a final package including summaries, visuals, and supporting code or documentation.

Collaborate across the organization — partnering with data scientists, engineers, product managers, and business stakeholders to scope problems and ship solutions.

Participation in department meetings and meetings specific to the project assignment.

Adhering to Mosaic’s mission, guiding principles and priorities, and key competencies.

What you’ll need: ​

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 strongly preferred

2.75 GPA or higher

Proficiency in Python and familiarity with common libraries (e.g., pandas, NumPy, scikit-learn, PyTorch or TensorFlow); comfort with Git and Jupyter notebooks

Coursework, projects, or hands-on experience with machine learning, deep learning, NLP, or applied statistics

Exposure to Generative AI / LLMs (prompting, RAG, agentic workflows) and cloud platforms (Azure, AWS, or GCP) is a strong plus

Nimble, sharp, and intellectually curious — a fast learner who thrives in ambiguity, asks good questions, and picks up new tools and concepts quickly

Strong problem-solving skills and the ability to break down ambiguous business problems into structured, testable AI/data approaches

1-2 years of experience volunteering, working with student/school organizations, or work is preferred.

Previous internship or co-op experience is preferred.

Reliable transportation and valid driver’s license - You will need to be able to travel to and from sites and/or office.

Ability to work full time and be a student in standing at the time of the co-op/internship

Selected candidates will be required to successfully complete post-offer/pre-placement drug and alcohol screening, background check, physical, functional capacity examination.

Experience working in a team environment is a must

Effective verbal and written communication skills — able to explain technical concepts clearly to non-technical audiences

The physical demands described are representative of those that must be met by an employee to successfully perform the functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Must be able to safely perform the essential functions of the job without posing a direct threat to the safety of his or her own self, or the safety of others

Able to lift approximately 0-25 lbs. occasionally

Able to climb stairs and work at various heights

Able to distinguish varying or specific colors, patterns or materials

Able to hear, with or without correction

Able to read, write and understand basic English

Able to see, with or without correction

Able to use fine hand motor skills

Must be authorized to work in the United States