Lead Research Scientist in Computer Graphics, Vision and Machine Learning

This is a Full Time Job

As part of our Capture and Relighting team, you will work alongside world-class researchers, developers, and artists to push the boundaries of computer graphics and machine learning.

We are seeking a highly skilled Lead 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 and reconstruction, and novel view synthesis. You will be at the forefront of developing new algorithms that drive the future of visual storytelling.

Key Responsibilities
• Lead and mentor a team of researchers, managing multiple concurrent research initiatives and setting technical direction across projects
• Conduct applied research in computer graphics and machine learning, with a focus on high-fidelity reconstruction and photorealistic image synthesis
• Lead high-quality data acquisition and curation efforts to support next-generation machine learning algorithms for VFX and virtual production
• Collaborate closely with engineering, production, and business teams to integrate research outcomes into production workflows, always aiming for production-quality results (not just research demos)
• Identify and champion new research directions that can have significant impact on content creation and virtual production

Qualifications
• Prior experience leading or influencing teams of researchers, with a track record of delivering impactful research outcomes across multiple initiatives
• Education in Computer Graphics, Computer Vision, Machine Learning, or a closely related field
• 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 transferrable 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)
• Record as first author at top-tier conferences (SIGGRAPH, CVPR, NeurIPS, ICCV, ECCV, ICLR) (preferred)