Research Scientist Project Intern (Enterprise AI Agent) - 2026 Start (PhD)

San Jose Intern R&D Future Talent 2027 - PhD Program Job ID: A85783A Responsibilities About the team We are seeking an exceptional Research Scientist Intern to join our team to pioneer the next generation of Enterprise Agentic Solutions and Self-Evolving AI Agents. This role bridges cutting-edge research with production impact. You will work with proprietary internal datasets (including USDS and compliance-restricted environments) to design, evaluate, and deploy autonomous agents that offload routine workflows in engineering development, operations (DevOps/SRE), and product growth. Your goal is to deliver measurable speedups in project execution, significantly reduce operational expenditure, and publish high-impact research papers on enterprise agentic architectures. As a Project Intern, you will contribute to impactful short-term projects and gain hands-on experience in a fast-paced, professional environment. This internship offers the opportunity to develop practical skills, apply your knowledge to real-world challenges, and explore your career interests. Applications are reviewed on a rolling basis, so we encourage you to apply early. Responsibilities: - Conduct cutting-edge research in self-improving agents, evolutionary optimization, and multi-agent systems to enable autonomous code generation, system maintenance, and decision-making. - Formulate novel research ideas, design rigorous methodologies, conduct experiments, and lead papers for top-tier AI/ML conferences. - Investigate methodology for agentic self-evolution using proprietary, compliance-restricted datasets (USDS), solving challenges around data safety, memory optimization, and long-horizon runtime stability. - Develop robust evaluation frameworks to measure the concrete operational impact (e.g., runtime efficiency, task completion speedup, labor cost offloading) of agentic solutions in engineering and growth environments. Qualifications Minimum Qualificatio