Nvidia PhD Research Intern AI ML Graphics - 

Finland, Helsinki 

523072149

What you will be doing:

• Design and implement generative AI algorithms that push the boundaries of real-time graphics and visual content creation

• Develop text-to-image and text-to-video foundation models optimized for interactive graphics applications

• Integrate breakthrough diffusion models and transformer architectures with traditional graphics pipelines to create innovative products

• Pioneer AI-powered content generation techniques for real-time rendering and simulation

• Collaborate with world-class researchers, engineers, and external research partners

• Deliverable results include prototypes, patents, products, and/or publishing original research at top-tier conferences

What we need to see:

• Must be actively enrolled in a university pursuing a PhD degree in Computer Science, Electrical Engineering, Machine Learning, or related field for the entire duration of the internship

• Strong programming skills in Python, C++, CUDA and deep learning frameworks (PyTorch, JAX, TensorFlow)

• Strong research background with publications at top conferences (SIGGRAPH, NeurIPS, ICML, ICCV, CVPR, etc.)

• Excellent communication and collaboration skills

• Experience with large-scale model training and deployment is a plus

Research areas of focus:

We're looking for candidates with research experience in at least one of the following areas:

• Diffusion Models for Image/Video Generation

• Text-to-Image/Video Foundation Models

• Multimodal Vision-Language Models

• Neural Radiance Fields (NeRFs) and 3D Generation

• Real-Time Generative AI and Optimization

• Computer Vision for Graphics Applications

• AI-Powered Content Creation and Synthesis

• Transformer Architectures for Visual Data

• Physics-Based Simulation with AI

• Synthetic Data Generation for Graphics

Applications will be accepted until December 6, 2025.

Please note: We will be reviewing applications on a rolling basis as they are submitted. We encourage you to apply early.