Machine Learning Research Engineer
RoboflowFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Los Angeles, California, United States
Key technologies and capabilities for this role
Common questions about this position
A PhD in Computer Graphics, Computer Vision, Machine Learning, or a closely related field is required, along with a strong publication record as first author at top-tier conferences like SIGGRAPH, CVPR, and NeurIPS. Candidates need deep expertise in computer graphics and machine learning, particularly in 3D reconstruction, dynamic scene capture, and photorealistic rendering.
Responsibilities include conducting applied research in computer graphics and machine learning focused on high-fidelity reconstruction and image synthesis, designing novel algorithms for Dynamic Gaussian Splatting and 3D reconstruction, leading data acquisition efforts, publishing at top conferences, and collaborating with teams to integrate research into production workflows.
Eyeline Studios is Netflix's innovation hub providing unmatched creative and technical environments for filmmakers to explore next-generation technologies, with a mission to tackle tomorrow's challenges and support bold creative visions. It features an innovative team of brilliant researchers, developers, and virtual storytellers in a fast-paced, multidisciplinary setting.
Yes, a PhD in Computer Graphics, Computer Vision, Machine Learning, or a closely related field is required.
Hands-on experience with (Dynamic) Gaussian Splatting, 3D reconstruction techniques, diffusion models for image/video, or transformer architectures is required, along with strong interest in image and signal processing for production-ready results.
Provides visual effects and real-time production
Scanline VFX specializes in creating visual effects for films and television. The company uses its proprietary fluid simulation software, Flowline, to produce realistic natural elements like fire, smoke, and water. This software has been recognized with an Academy Award for its technical achievements. Scanline VFX stands out from its competitors by combining a large, diverse team of over 1,200 professionals with significant investments in its technology and infrastructure, particularly from Netflix. This allows them to take on a wide range of projects, both for Netflix and other clients. The goal of Scanline VFX is to help filmmakers achieve their artistic visions while pushing the limits of what can be done in visual effects and real-time production.