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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI agent research, focusing on safety, security, and ethical alignment, while applying advanced techniques for model efficiency and multi-agent collaboration. Proficient in programming and capable of translating research into practical applications within the AI domain.
Highest-signal resume keywords
Ph.D. CandidateAI Safety and Security ResearchMulti-Agent Systems ExperienceProgramming Proficiency in Python, C++, JavaResearch Publication Record
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Agent ResearchModel CompressionQuantizationFine-Tuning StrategiesInference OptimizationSecure Access ControlBenchmarking ToolsEvaluation TechniquesGuardrail SystemsReliable LLM Systems
Soft Skills
Strong CommunicationCollaboration SkillsAnalytical Problem-SolvingCuriosityAdaptability
Tools & Technologies
Generative AI ToolsChatGPTMicrosoft Copilot
Industry Keywords
Trustworthy AIAI EfficiencyResearch PublicationsTechnical ContributionsConference Presentations
Tech Stack
Tools & technologiesJavaPythonC++
About the role
Key responsibilities & impact- Conduct research to improve AI agent reliability, reduce hallucinations, and advance safety, security, and ethical alignment
- Design techniques to enhance AI agent efficiency, including model compression, quantization, fine-tuning strategies, and inference optimization
- Develop and evaluate secure access control and guardrail systems for 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
- Participate in Visa's 12-week internship program and complete a final presentation for Visa leaders
Requirements
What you’ll need- Students pursuing a Ph.D. with a graduation date in December 2027 or later
- 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
- Curiosity and continuous learning
- Digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot)
- Ability to work at least 3 days in the office
- Ability to travel 5-10% of the time
Benefits
Comp & perks- 12-week immersive internship experience
- Interactive workshops and learning sessions
- Professional skills and industry knowledge development
- Social events fostering community and connection
- Hands-on experience in a dynamic, global environment
