Machine Learning Scientist 5 - Studio Media Algorithms

Design, train/post-train/fine-tune foundational algorithmic solutions with applications across VFX, animation, and games, advancing computer vision in practice. Build reusable components and best practices for dataset curation, large-scale training, and post-training workflows used by multiple teams. Collaborate cross-functionally with engineers, scientists, artists, and product leaders to identify and prioritize strategic research investments and problem requirements. Extend technical depth into adjacent domains as business needs and technology evolve. Demonstrate research excellence with results and/or publications, applying deep learning to media understanding and generation using modern generative models such as diffusion and autoregressive architectures, and covering the full model development stack. Bring strong math, statistics, and optimization knowledge, and proficiency in Python with PyTorch or TensorFlow, plus experience in Java or C++, and be open to opportunities in 3D vision/graphics or domain experience in media production.