Disney Consumer Products (DCP) aims to automate product approval and licensee audit processes, minimizing manual effort, ensuring compliance, accelerating time to market, and streamlining contract verification through an AI-powered platform.
Requirements
- Proficient in Java and Python
- Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, as well as building and managing data pipelines
- Familiarity with relational databases and SQL
- Coursework or Experience with large language model (LLM) and Retrieval-Augmented Generation (RAG)
- Exposure to cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
Responsibilities
- Implement and test LLM-powered applications leveraging RAG pipelines for context-aware responses
- Develop and integrate data ingestion and vector database pipelines for document retrieval and semantic search
- Fine-tune or prompt-engineer foundation models (e.g., OpenAI, Gemini, etc.) for specific use cases
- Optimize retrieval performance, prompt efficiency, and response quality through experimentation and evaluation
Other
- Currently enrolled undergraduate student in an accredited college/university, pursuing a Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Management Information Systems, Information Technology or related field.
- Be at least 18 years of age
- Possess unrestricted work authorization
- Able to provide own housing for the duration internship program in the Glendale, CA area.
- Able to provide/have reliable transportation to/from work
