FPT Software ★ 3.8

About QACI, the Lab, and the Position

The Quantum AI & Cyber Security Institute (QACI), established by FPT Corporation, is dedicated to advancing foundational technologies in Artificial Intelligence, Quantum Technologies, and Cyber Security. QACI operates through specialized research labs that conduct both foundational and applied research, develop core technologies, and deliver solutions with real-world impact in close collaboration with universities and international research partners.

The Multimodal AI Lab is a flagship research unit within QACI, focused on advancing how machines perceive, understand, and interact with the world. The Lab works on fundamental challenges in Multimodal AI while building scalable AI technologies that power large-scale products reaching millions of users. Alongside research excellence, the Lab is committed to mentoring the next generation of AI leaders in Vietnam and beyond.

We are seeking Research and Applied Scientists who are comfortable working across academic and industrial research. In this role, you will lead research directions and collaborate closely with engineers to translate research outcomes into impactful, real-world AI products.

Core Responsibilities

• Pioneer Research: Design and develop novel models and algorithms in multimodal learning, reasoning, and generative AI.
• Bridge the Gap: Collaborate with industry partners to transform ambiguous business problems into rigorous research formulations.
• Product Evolution: Partner with AI Engineers to integrate research breakthroughs into deployable, high-performance systems.
• Thought Leadership: Publish and present findings at top-tier venues (CVPR, NeurIPS, ICML, ICLR, etc.).
• Mentorship: Co-supervise PhD candidates and interns in collaboration with global academic partners.

Requirements

• Education: PhD (preferred) or a Master’s degree with significant research experience in CS, AI, Math, or a related quantitative field.
• Technical Depth: Expertise in at least one of the following:
• Large Language Models (LLMs) & Vision-Language Models (VLMs)
• Generative AI (e.g. Diffusion Models)
• Reinforcement Learning and Reasoning AI
• Publication Record: A strong track record of first-author publications in top-tier AI conferences/journals such as ICML, ICLR, NeurIPS, CVPR, ICCV, ACL, EMNLP
• Problem Solving: Proven ability to apply theoretical concepts to complex, messy, real-world datasets.
• Leadership: A self-starter mindset with the ability to own a research roadmap from ideation to execution.

Nice to Have:

• Experience with large-scale distributed training (PyTorch/JAX).
• Prior experience in industrial R&D or collaborative projects with tech giants.
• A history of mentoring students or contributing to open-source AI projects.

What We Offer

• The Best of Both Worlds: A research-first environment with the agility of a startup and the resources of a global corporation.
• Compute & Data: Access to high-performance computing clusters and massive, unique datasets.
• Global Network: Opportunities to collaborate with professors from world-renowned universities.
• Competitive Ecosystem: Work alongside a highly motivated team of engineers and scientists in a dynamic, high-growth atmosphere. Comment end