AI Research Intern at NVIDIA focusing on multi - modal AI and vision - language model development. Collaborating with engineers to advance cutting - edge machine learning research in Vietnam.
About the role
- Lead research on Foundational Multimodal Models for Conversational Avatars — systems that can perceive, reason, and generate across video, audio, and language.
- Build and train models using Autoregressive, Predictive (e.g., V-JEPA), and Diffusion-based architectures with a deep focus on temporal and sequential data (not static frames).
- Design and execute experiments to predict and control the visual, auditory, and linguistic responses of avatars.
- Partner with the Applied ML team to bring research into real-world use cases.
- Mentor other researchers and drive excellence across the team.
Requirements
- A PhD plus 2–3+ years working hands-on with LLMs, VLMs, or multimodal systems.
- Previous experience leading research efforts or mentoring teams.
- Expertise in sequence modeling across video, audio, and text — with strong understanding of autoregressive, predictive, and diffusion frameworks.
- Experience with large-scale model training and optimization for performance and real-time generation.
- Proven ability to translate research ideas into production-grade systems.
- Publications in top-tier venues (CVPR, ICCV, NeurIPS, ECCV, ACMMM).
- Strong PyTorch skills and comfort moving fluidly between research and engineering.
Benefits
- flexible work schedule
- unlimited PTO
- competitive healthcare
- gear stipends
Job title
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