Description
Visa's Internship Program offers a 12-week immersive experience where you'll work on impactful projects that advance Visa's mission.
As a Visa intern, you'll build meaningful connections, strengthen your communication and business skills, and gain hands-on experience in a dynamic, global environment.
The GenAI Research team drives purpose-driven research to advance the next generation of AI for secure, intelligent, and scalable commerce.
Job Duties
- Conduct research to improve AI agent reliability, reduce hallucinations, and advance safety, security, and ethical alignment.
- Design techniques to enhance AI agent efficiency, such as model compression, quantization, fine-tuning strategies, and inference optimization.
- Develop and evaluate secure access control and guardrail systems that promote responsible AI interactions.
- Investigate multi-agent architectures for secure, coordinated, and efficient collaboration.
- Build tools and frameworks to benchmark agent safety, robustness, and performance.
- Prototype and experiment to translate research ideas into practical AI capabilities.
- Contribute to research publications, patents, and technical reports where appropriate.
Qualifications
- Students pursuing a Ph.D. with a graduation date in December 2027 or later
Preferred Qualifications
- Strong research record demonstrated by publications, patents, conference presentations, or technical contributions.
- Research experience in AI agents, AI safety, security, alignment, trustworthy AI, or reliable LLM systems.
- Experience with multi-agent systems, agent frameworks, planning, or evaluation techniques.
- Knowledge of techniques for reducing hallucinations, enhancing factuality, enabling guardrails, enforcing policies, or building secure AI systems.
- Experience applying efficiency methods such as compression, quantization, fine-tuning, or inference optimization.
- Proficiency in programming languages such as Python, C++, Java, or similar.
- Strong communication, collaboration, and analytical problem-solving skills.
- Ability to innovate, adapt to ambiguity, and tackle complex research challenges.