Research Intern, PhD or Master's (Contract)

Responsibilities: Investigate and prototype advanced generative models targeting creative pipelines. Collaborate with interdisciplinary stakeholders to ensure research aligns with real-world constraints and goals. Share results through internal demos, documentation, or technical writeups. Required Skills: Currently pursuing a Master’s or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field. Strong theoretical background in machine learning and generative modeling. Hands-on experience with PyTorch, TensorFlow, or JAX. Familiarity with models such as diffusion and score-based generative models, flow matching, GANs, VAEs, and Transformers. Excellent communication and documentation skills. Desired Skills: Experience with multimodal modeling, controllable generation, or diffusion-based frameworks. Interest in games, digital creativity tools, or player-facing applications. Publications or work in submission at top ML/AI/CV/CG conferences (NeurIPS, ICLR, CVPR, ICML, SIGGRAPH). Our Perks: Mentorship from senior researchers and engineers. Access to internal tools, datasets and compute for experimentation.