Research Scientist – Computer Graphics, Vision and Machine Learning

United States·Los AngelesRegularmid

Data ScienceData ScientistResearch ScientistDataData & AI

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Quick Summary

Overview

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…

Technical Tools

machine-learning

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)

About Us

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 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- 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 addition to our work with Netflix, we continue to partner with a wide range of long-standing and new clients worldwide.

Come as you are

We 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.