Research Scientist positions at VinAI Research

VinAI Research is a research-focused lab located in Hanoi, Vietnam. Funded by VinGroup, the largest enterprise in Vietnam by capitalization, our mission is to conduct high-impact researches that push the knowledge frontier in AI and to accelerate applications of AI in Vietnam, the Asia Pacific region, and beyond.

Employment at VinAI Research offers an opportunity to be at the forefront of AI research and technology development. You will work alongside a group of exceptionally talented world-class colleagues to conduct high-impact research projects and improve AI techniques and solutions. Our current research focus ranges from machine learning, deep learning, computer vision, natural language/speech understanding and reinforcement learning. For more information see our website at

Research Scientist’s Responsibilities

VinAI Research is looking for researchers who can do world-class research in one or more of the following research areas: deep learning and machine learning, computer vision, natural language/speech understanding and reinforcement learning. Research scientists are expected to be machine learning experts and able to carry out independent research projects from conceptualization to implementation that can result in top-tier publications. Senior staff members are expected to be able to function in a leadership role to lead internal projects and/or exert external influence and thought leadership in the area of expertise.


Successful candidates should have a Ph.D. in computer science or related fields, and a proven research track record with authorship of papers at top-tier conferences. Senior-level applicants should demonstrate leadership as evidenced by high quality publications, and a track record for innovations. Candidates should collaborate effectively with other staff members and product development teams. We are particularly interested in candidates who can work flexibly across disciplinary boundaries.


Compensation is highly competitive and will take into account the applicant’s current global employment and experience level.