Research Scientist - Computer Graphics, Vision and Machine Learning

Netflix is a global leader in entertainment services, expanding beyond media distribution into cutting-edge content production. Within this ecosystem, Eyeline Labs serves as the research and innovation arm of Netflix Eyeline Studios, developing and deploying advanced technologies that transform how films are made.

Our mission is to tackle the challenges of tomorrow, making the seemingly impossible achievable, delivering photorealistic quality with exceptional speed and efficiency, and supporting creators in bringing their boldest creative visions to life.

We want to provide you with a solid foundation where you can be a part of an innovative team of brilliant researchers, developers and virtual storytellers. Learn more.

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 human performance and scene relighting, and material decomposition. You will be at the forefront of developing new algorithms that drive the future of visual storytelling.

• Conduct applied research in computer graphics and machine learning - focused on high-fidelity reconstruction and photorealistic image synthesis to solve real challenges in VFX and content creation pipelines.
• Architect, execute, and assess innovative algorithms and generative models or pipelines for image and video synthesis, relighting, illumination estimation, physically based material decomposition, and (Dynamic) Gaussian Splatting, ensuring a viable transition from initial prototype to production deployment.
• Lead high-quality data acquisition and curation efforts to support next-generation machine learning algorithms for VFX and virtual production.
• Engage directly with VFX artists, supervisors, and production teams to understand creative and technical pain points, ensuring research efforts are grounded in real production needs.
• Contribute to and stay at the forefront of the research community by sharing findings, collaborating with peers, and presenting work at top-tier conferences (SIGGRAPH, CVPR, NeurIPS, ICCV, ECCV, ICLR).
• Collaborate closely with engineering, production, and business teams to translate research outcomes into production-ready solutions, bridging the gap between research prototypes and real-world VFX workflows.
• Identify and champion new research directions that can have significant impact on content creation and virtual production.

• MSc with relevant research experience, or PhD, in Computer Graphics, 3D Computer Vision, Machine Learning, or a closely related field.
• Demonstrable research experience in 3D Computer Vision and Computer Graphics, with contributions to major venues (e.g., SIGGRAPH, CVPR, NeurIPS, ICCV, ECCV, ICLR) through publications, technical talks, or open-source work.
• Deep expertise in computer graphics and machine learning, with hands-on experience in areas such as image and video synthesis, relighting, illumination estimation, physically based material decomposition, photorealistic rendering and (Dynamic) Gaussian Splatting.
• Familiarity with modern generative architectures - diffusion models (image/video), transformer-based methods, or demonstrably transferable experience.
• Comfortable working at both the algorithmic and implementation levels - from model design and optimization to large-scale data processing and integration into production systems.
• Track record of translating research into production-quality solutions, navigating real-world constraints such as data limitations, performance requirements, and production timelines.
• Experience working directly with artists, engineers, or production teams to ensure research outputs meet the quality and usability bar for creative workflows.
• Strong attention to detail in image and signal processing, with a drive to achieve high-fidelity, visually compelling results.
• Exceptional communication and collaboration skills, with the ability to work effectively across research, engineering, and creative teams in a fast-paced environment.
• High level of ownership, initiative, and a positive, problem-solving attitude.

• Passion for movies, TV, and storytelling.

Eyeline is a global creative studio partnering with storytellers to turn their ambitions into stunning reality. By blending the time-honored craft of filmmaking with breakthrough technologies, we…