AI Research & Development Intern
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About this role
About the Role
We are seeking a highly motivated AI Research & Development Intern to join our team in San Ramon, CA. This internship is focused on hands-on exploration and development of AI-driven technologies, including AI models and AI agent or framework development.
This role is ideal for a student who is excited about applied AI, enjoys working on open-ended technical problems, and wants exposure to real-world AI R&D in an enterprise environment. The intern will collaborate closely with experienced engineers and product leaders on exploratory AI projects that may influence future product capabilities.
What You’ll Work On
- Assisting with research, prototyping, and development of AI models, including experimentation with large language models (LLMs) or other ML techniques
- Exploring and contributing to AI agent frameworks, workflows, or orchestration patterns
- Implementing proof-of-concept solutions to demonstrate AI-driven capabilities
- Evaluating emerging AI technologies, tools, and frameworks
- Writing clean, well-documented code and technical notes to support knowledge sharing
- Collaborating with cross-functional teams to understand real-world use cases and constraints
This is a learning-focused role with meaningful technical ownership, not just observation.
What We’re Looking For
Required / Preferred Qualifications:
- Currently pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Data Science, AI/ML, or a related field
- Strong interest in Artificial Intelligence and Machine Learning
- Some experience with Python is highly desired; familiarity with JavaScript, Java, or similar languages is a plus
- Exposure to machine learning concepts, AI models, or AI frameworks
- Curiosity, initiative, and comfort working in an environment with evolving requirements
- Ability to think critically, experiment, and learn quickly
Nice to Have (Not Required):
- Experience with LLMs, Fine-Tuning Models, AI agents, or prompt engineering
- Familiarity with ML libraries or frameworks (e.g., LangChain, PyTorch, TensorFlow, etc.)
- Interest in enterprise software, systems, or applied AI use cases
What You’ll Gain
- Hands-on experience working on real AI R&D initiatives
- Exposure to how AI is explored, prototyped, and evaluated in a production-oriented organization
- Mentorship from senior engineers and product leaders
- A chance to contribute ideas that may shape future AI capabilities