Research Scientist – Computer Graphics, Vision and Machine Learning
Eyeline Studios serves as Netflix's innovation hub, empowering creators to realize their visions and expand the horizons of visual storytelling.
By providing unmatched creative and technical environments, we enable filmmakers to explore next-generation technologies like volumetric capture, generative visualization workflows, in-camera and real-time visual effects, game engine workflows, dynamic lighting, and world capture.
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.
Key Responsibilities
- 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
Qualifications
- 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)
$100,000 - $320,000 a year
This salary range is specific to applicants applying to our position in Los Angeles, California. 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 Us
Scanline VFX is an award-winning leader in the visual effects industry with 7 studios worldwide, including London, Los Angeles, Montreal, Seoul, Mumbai, Hyderabad and Vancouver. Since our beginning in 1989, we strive to set the highest standard of quality in everything we do. Through innovation, we generate solutions for our clients and raise the bar — both within our workplace and throughout our industry.
Powered by Netflix
Netflix’s investment in our pipeline, infrastructure, and workforce allows us to continue to push the boundaries of what is possible in visual effects. In addition to working on projects for Netflix, we continue to work with a variety of long-standing and new clients.
Come as you are
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.
