Research Intern - Machine Learning

- 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. - 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.