Research Scientist (Computer Graphics, Vision and Machine Learning)

Overview We are seeking a highly skilled Research Scientist with a strong background in computer vision, computer graphics, and machine learning. This role is ideal for candidates passionate about generating high‑quality images and advancing the state of the art in dynamic scene capture, reconstruction, and novel view synthesis. Responsibilities Conduct applied research in computer graphics and machine learning, focusing on high‑fidelity reconstruction and photorealistic image synthesis. Design, implement, and evaluate novel algorithms for Dynamic Gaussian Splatting, 3D reconstruction, and performance capture. Lead high‑quality data acquisition and curation efforts to support next‑generation machine learning algorithms for VFX and virtual production. Prepare and publish research at top‑tier conferences (SIGGRAPH, CVPR, NeurIPS, ICCV, ECCV, ICLR). Collaborate closely with engineering, production, and business teams to integrate research outcomes into production workflows, aiming for production‑quality results rather than research demos. Identify and champion new research directions that can have significant impact on content creation and virtual production. Qualifications PhD in Computer Graphics, Computer Vision, Machine Learning, or a closely related field (required). Strong publication record as first author at top‑tier conferences (SIGGRAPH, CVPR, NeurIPS, ICCV, ECCV, ICLR). Deep expertise in computer graphics and machine learning, with demonstrated experience in 3D reconstruction, dynamic scene capture, and photorealistic rendering. Hands‑on experience with Dynamic Gaussian Splatting, 3D reconstruction techniques, and either diffusion models (image/video) or transferable experience with transformer architectures. Strong interest and attention to detail in image and signal processing, with a drive to achieve high‑quality, production‑ready results. Exceptional interpersonal and communication skills, with the ability to work collaboratively in a fast‑paced, multidisciplinary environment. High level of ownership, initiative, and a positive, problem‑solving attitude. Passion for movies, TV, and storytelling (preferred). EEO Statement We are committed to ensuring fair and equal treatment of your application. When you apply for a role with us, you will receive consideration based solely on your qualifications. #J-18808-Ljbffr