Research Intern - Machine Learning - People Centric AI

In collaboration with your mentor and a diverse team, contribute to solving an ambitious research challenge and translate your results into actionable insights that are relevant to potential applications in creative media, robotics and gaming. Write code and contribute to shared codebases to test the new approach or hypotheses. Distil the developed insights into effective communications, such as a research paper, prototype, demonstration, presentation or another appropriate format to reach internal and external technical and general audiences. Currently enrolled in a Masters or PhD program. Research experience in at least one of the following or related areas: Generative models (world models, diffusion, autoregressive models) and controllability; Decision making, reinforcement and imitation learning (representation learning, planning, zero or few shot and sim-2-real generalization, fine-tuning foundation models); 3D computer vision (Gaussian splatting, NERF); Multi-modal representation learning; Training and fine-tuning large multimodal (including but not limited to vision-language) models. Strong understanding of state-of-the-art deep learning approaches. Hands-on experience in implementing and empirically evaluating deep learning approaches. Effective communication skills and ability to work in a collaborative environment. Currently enrolled in a PhD program in Artificial Intelligence, Machine Learning, Computer Science or a related area. Ability to carry out research in at least one of the areas mentioned above, demonstrated by at least one journal or conference publication in one of the top publication venues in your research area.