Student Researcher (PhD) – Agentic AI & R&D

About the Role We’re inviting exceptional PhD students to collaborate with our Agentic AI Browser and POC R&D teams on cutting-edge applied research in generative and agentic AI systems. As a Student Researcher , you’ll work closely with our core AI and product teams to explore, prototype, and validate new approaches to human–AI interaction, context-aware reasoning, and dynamic content generation. This is a hands-on research opportunity that bridges academic rigor with real-world innovation. Our goal is to create AI experiences that are autonomous, adaptive, and grounded in scientific inquiry —and we’re looking for researchers who can help us push these boundaries. Responsibilities Collaborate on research projects in LLM orchestration , multimodal reasoning , contextual intelligence , or applied AI systems . Design and execute small-scale experiments, run evaluations, and help publish or document findings. Partner with engineers and product teams to translate insights into prototype features and proof-of-concept systems. Contribute to internal research reviews, technical documentation, and demo sessions. Provide day-to-day research oversight and advisory input to the R&D team. Minimum Qualifications Currently enrolled in a PhD program in Computer Science , Artificial Intelligence , Machine Learning , Linguistics , Statistics , Applied Mathematics , or a related technical field. Research or project experience in one or more of the following: Natural Language Processing / Understanding Human–AI Interaction Machine Learning / Deep Learning Reinforcement Learning or Agentic Systems Data Science or Knowledge Representation Proficiency in at least one general-purpose programming language (e.g., Python, JavaScript, or C++ ). Preferred Qualifications Prior experience contributing to academic or applied research (publications, lab work, or R&D internships). Interest in agentic AI frameworks , reasoning pipelines , or autonomous task execution . Familiarity with LLM architectures , prompt engineering , and multi-agent coordination . Ability to work in a fast-paced, exploratory, and cross-functional environment.

Location: Mexico City, Mexico, MX

Posted Date: 11/17/2025