Artificial Intelligence Co-Op/Intern - Summer 2027

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. Term: May 10th, 2027 to August 20th, 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. - 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. - Collaborate across the organization 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 and priorities, and key competencies. ## What you'll need - Junior level or above by May 2027, pursuing an undergraduate, master's, or PhD 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 good 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, and 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. - Must be able to safely perform the essential functions of the job without posing a direct threat to the safety of self or 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.