Research Scientist - Computer Graphics, Vision and Machine Learning

Position Overview

Netflix is a global leader in entertainment services, expanding into cutting‐edge content production through its research and innovation arm, Eyeline Labs. Our mission is to tackle tomorrow’s challenges, delivering photorealistic quality with exceptional speed and efficiency while empowering creators to bring their boldest visions to life.

We are seeking a highly skilled Research Scientist specializing in computer vision, computer graphics, and machine learning. In this role, you will drive breakthrough research in high‐fidelity reconstruction, dynamic scene capture, and novel view synthesis – advancing the future of visual storytelling.

Compensation: $100,000 - $320,000 a year (This range is specific to applicants in Los Angeles, California. Your final offer will be determined by your qualifications, skills, experience, and location.)

Key Responsibilities

• Conduct applied research in computer graphics and machine learning, focusing on high‐fidelity reconstruction and photorealistic image synthesis.
• Design, implement, and evaluate novel algorithms for (Dynamic) Gaussian Splatting, 3D reconstruction, and performance capture.
• Lead 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 with engineering, production, and business teams to integrate research outcomes into production workflows, ensuring production‐quality results.
• Identify and champion new research directions that can significantly impact content creation and virtual production.

Required Qualifications

• PhD in Computer Graphics, Computer Vision, Machine Learning, or a closely related field.
• 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 hands-on experience in 3D reconstruction, dynamic scene capture, and photorealistic rendering.
• Experience with (Dynamic) Gaussian Splatting, 3D reconstruction techniques, and either diffusion models or transferable experience with transformer architectures.
• Strong 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 collaborate in a fast-paced, multidisciplinary environment.
• High level of ownership, initiative, and a positive, problem-solving attitude.

Preferred Qualifications

• Passion for movies, TV, and storytelling.