AI Developer Co-op - Graduate Program (9 Months) at Church & Dwight

A collective energy and ambition. A place where you can make a real difference.

We’re a company that genuinely cares about our people, our products, our consumers and the environment.

Our unique, informal culture champions courage, determination and collaboration. Knowing we have an open and supportive team means each of us has the freedom to take responsibility and ownership. We have a shared passion to work hard, innovate and push boundaries.

United by the belief that when we strive for growth, anything is possible. While we might not be the largest company in our industry, we believe we can have the biggest impact because: Together We Have the Power to Win.

Church & Dwight Co., Inc. is offering a 2027 graduate co-op opportunity with Global Technology & Analytics. Beginning at the end of May 2027 and running through March 2028, the AI Developer Co-op will work alongside technology, data, and business professionals to explore, prototype, test, and implement responsible AI solutions that address real-world business challenges. The experience also includes exposure to leadership, professional development, networking events, and opportunities to connect with students across functions.

What’s In It for You:

· Hybrid work schedule during the summer (Tues/Wed/Thurs in the office Ewing, NJ)

· Remote work schedule during school semesters

· Learning & Development opportunities

· Summer Speaker Series featuring executive leadership

· Networking opportunities with early career cohort

· Access to company store

· Final Capstone Presentation with leadership

· Housing Stipend - for students whose residential address is greater than 30 miles from the work site

What You’ll Do:

· Develop and prototype AI and machine learning solutions that address real-world business needs.

· Build and test applications using generative AI, large language models (LLMs), and related technologies.

· Create prompts, workflows, and evaluation methods to improve the quality and usefulness of AI-generated outputs.

· Prepare, transform, and retrieve structured and unstructured data for AI applications.

· Write clean, maintainable code using Python, SQL, and other relevant programming languages.

· Explore APIs, AI/ML frameworks, embeddings, vector databases, retrieval-augmented generation (RAG), and AI agents.

· Assess AI solutions for accuracy, reliability, safety, performance, and business value, and recommend improvements.

· Partner with cross-functional teams to translate business requirements into scalable technical solutions and prototypes.

· Document technical approaches, assumptions, test results, and recommendations.

· Present prototypes, findings, and insights to technical and non-technical stakeholders.

· Research emerging AI capabilities and identify opportunities for responsible use across the organization.

What You’ll Bring:

Required Qualifications

· Currently enrolled in a master’s program in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Mathematics, or a closely related technical discipline.

· Programming experience with Python or another relevant language, plus foundational knowledge of machine learning, artificial intelligence, or data science.

· Experience working with data and developing technical solutions to complex problems.

· Strong analytical, problem-solving, written, and verbal communication skills.

· Ability to work independently, manage multiple priorities, and collaborate effectively in a fast-paced environment.

· Ability and interest in working a hybrid schedule in Ewing, NJ during Summer 2027 and remotely during school semesters.

· US work authorization required; candidates must be a U.S. citizen, permanent resident, or green card holder.

Preferred Qualifications

· Hands-on experience with generative AI, LLMs, or applied AI projects through coursework, research, internships, or personal projects.

· Familiarity with APIs and AI/ML frameworks such as Azure OpenAI, OpenAI, Hugging Face, LangChain, or similar technologies.

· Exposure to RAG, embeddings, vector databases, prompt engineering, AI agents, or model evaluation techniques.

· Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud.

· Experience with Git/GitHub, testing, version control, notebooks, and modern software development practices.

· Familiarity with data and analytics tools such as SQL, Power BI, Databricks, or Microsoft Fabric.

Church & Dwight is proud to be an Equal Opportunity Employer/Veterans/Individuals with Disabilities.

For more information on our company, our brands and our culture visit us at http://www.churchdwight.com/