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.Key ResponsibilitiesConduct 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.Required QualificationsMSc 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.Preferred QualificationsPassion for movies, TV, and storytelling.$220,000 - $350,000 USD a yearThis salary range is specific to applicants applying to our position in Los Angeles, CA. To determine your base salary, we consider your qualifications, skills, and experience. These considerations can cause your compensation to vary outside of this range and will also be dependent on your location.About UsEyeline 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 unlock bold, cinematic visions at scale. Our three pillars - VFX, Studios and Labs - form the creative spine of Eyeline, guiding how we think, work, and show up in every frame.At Eyeline, we believe technology serves artistry and our people are the soul behind everything we do, deepening creative connection, rather than replacing it. We build worlds with exceptional craft and precision, working hand in hand with our creative partners from concept to final pixel.Netflix Investment- EyelineWith the support of Netflix’s investment in our pipeline, infrastructure, and workforce, we’re pushing the boundaries of what’s possible in visual effects and virtual production technology. In addition to our work with Netflix, we continue to partner with a wide range of long-standing and new clients worldwide.Come as you areWe are looking for those seeking to take risks with us, those driven by passion for their craft. To us, these are key ingredients that we look for in our team. 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.Job Requisition ID:JR42796Teams:LabsLocation Type:OnsiteRequisition Type:Employment Type:RegularDepartment:Labs