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
- Exploring, developing, and implementing cutting-edge technological advancements in multi modal (vision, audio, thermal, gas,...) machine learning.
- Identifying emerging technologies, conducting in-depth evaluations, and translating these findings into innovative products.
- Developing prototypes and conducting pilot projects to test new technologies in controlled environments.
- Driving collaborations with tech startups, research institutions, and industry leaders to leverage external expertise and accelerate innovation.
- Connecting with the engineering teams for the adoption and integration of new technologies into existing systems and processes, ensuring a seamless transition.
- Build cutting-edge AI, machine-learning, and sensing technologies, from early exploration to tackle real-world deployment challenges.
- Assess new technologies, design proof-of-concept experiments, build research prototypes, and swiftly transfer promising ideas to product.
- Shape the technology roadmap, guiding long-term strategy and ensuring solutions are robust, reliable, and ready for impact.
Requirements
- A PhD in Machine Learning (or a related technical field) OR 4+ years of relevant industrial hands-on experience.
- Excellent at designing and deploying state-of-the-art computer vision and AI perception models including multi-modal approaches.
- Excellent expertise in modern deep learning techniques, including transformer-based architectures, large Vision-language models (VLMs), Video generative models and diffusion algorithms or Vision Language Action models (VLAs) with hands-on experience training and fine-tuning such systems for scene understanding applications.
- Strong track record of implementing and evaluating advanced AI algorithms for perception and scene understanding in real-world scenarios.
- Strong practical experience across the MLOps pipeline—from data collection and curation to training, fine-tuning, and evaluation.
- Strong in fast prototyping, concept validation, and rapid iteration—you build to learn and use experimentation as a core development tool.
- Strong programming skills in Python, with the ability to write clean, and efficient code.
- Experienced in leading R&D initiatives or small cross-functional teams, with a focus on transferring promising ideas into impactful products.
- Strong in self-coordination and project ownership, able to structure your work independently, align with strategic goals, and deliver meaningful outcomes.
- Excellent communication skills, with the ability to effectively share knowledge and insights.
- Bonus Points: Experience with large scale machine learning compute systems.
- Bonus Points: Demonstrated coding, debugging, and engineering skills in writing modern C++.
- Bonus Points: Good familiarity with GPU programming, performance benchmarking and optimization, to deploy on edge or cloud systems
Benefits
- We offer you a very exciting and dynamic work environment
- The opportunity to become part of a fast-growing company and an ambitious team
- A chance to leverage your experience and bring in your own ideas
- A fair market salary
- An attractive employee stock ownership plan
- A job in the city of Zurich
Job title
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