Research Scientist – Computer Graphics, Vision and Machine Learning

Research Scientist – Computer Graphics, Vision and Machine Learning

Get AI-powered advice on this job and more exclusive features.

This range is provided by Eyeline. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$/yr - $/yr

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 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.

• Conduct applied research in computer graphics and machine learning, with a focus 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, 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.

• 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 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).

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 unlock bold, cinematic visions  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 – Eyeline. With 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…