Artificial Intelligence Co-Op/Intern - Spring 2027

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.

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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.

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.

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.

• 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