# Intern, Artificial Intelligence

**Company**: Visa
**Location**: Austin, TX
**Work arrangement**: hybrid
**Experience**: entry
**Job type**: internship
**Salary**: $56.00 to $63.00
**Category**: Research
**Industry**: Technology

**Apply**: https://visa.wd5.myworkdayjobs.com/en-US/Visa/job/US---Austin-TX/Staff-Research-Scientist--Intern---PhD-Agentic-AI_REF088582W-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_83a6494b-ce4

## 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.

## Skills

### Required
- Python
- C++
- Java
- AI
- Machine Learning

### Nice to have
- AI agents
- AI safety
- security
- alignment
- trustworthy AI
- reliable LLM systems
- multi-agent systems
- agent frameworks
- planning
- evaluation techniques

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Source: [Apply at visa.wd5.myworkdayjobs.com](https://visa.wd5.myworkdayjobs.com/en-US/Visa/job/US---Austin-TX/Staff-Research-Scientist--Intern---PhD-Agentic-AI_REF088582W-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)