Netflix

Research Scientist - Computer Graphics, Vision and Machine Learning

Netflix • $130K — $155K *
Los Angeles, CA 90011In-Person
Consumer Technology
Less than 5 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • MSc or PhD in Computer Graphics, 3D Computer Vision, or Machine Learning.
  • Demonstrable research experience in 3D Computer Vision and Computer Graphics, with impactful contributions to major conferences.
  • Deep expertise in areas like image synthesis, relighting, and photorealistic rendering.
  • Familiarity with modern generative architectures, including diffusion models and transformers.
  • Comfortable working at both the algorithmic and implementation levels, including scaling for production.
  • Proven track record of translating research into practical applications within production environments.
  • Strong attention to detail in image processing with a commitment to high-fidelity results.

Responsibilities

  • Conduct applied research focused on photorealistic image synthesis in VFX and content creation.
  • Architect and evaluate innovative algorithms for image and video synthesis and advanced material decomposition.
  • Lead data acquisition and curation to support cutting-edge machine learning algorithms.
  • Engage with VFX artists and production teams to address technical challenges and enhance research relevance.
  • Honor research community contributions by sharing findings at leading conferences and collaborating with peers.
  • Collaborate across teams to convert research into market-ready solutions that fit production workflows.
  • Explore and promote new research avenues that could significantly influence content creation.

Benefits

  • Opportunity to work at the cutting edge of visual storytelling technology.
  • Engagement with a creative team committed to solving technical challenges in VFX.
  • Access to top-tier professional development through conference presentations and collaborations.
  • Environment that promotes innovation and direct impact on production quality and workflows.
  • Support for a culture of continuous learning and improvement.
Full Job Description
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 human performance and scene relighting, and material decomposition. 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 - focused on high-fidelity reconstruction and photorealistic image synthesis to solve real challenges in VFX and content creation pipelines.
  • Architect, execute, and assess innovative algorithms and generative models or pipelines for image and video synthesis, relighting, illumination estimation, physically based material decomposition, and (Dynamic) Gaussian Splatting, ensuring a viable transition from initial prototype to production deployment.
  • Lead high-quality data acquisition and curation efforts to support next-generation machine learning algorithms for VFX and virtual production.
  • Engage directly with VFX artists, supervisors, and production teams to understand creative and technical pain points, ensuring research efforts are grounded in real production needs.
  • Contribute to and stay at the forefront of the research community by sharing findings, collaborating with peers, and presenting work at top-tier conferences (SIGGRAPH, CVPR, NeurIPS, ICCV, ECCV, ICLR).
  • Collaborate closely with engineering, production, and business teams to translate research outcomes into production-ready solutions, bridging the gap between research prototypes and real-world VFX workflows.
  • Identify and champion new research directions that can have significant impact on content creation and virtual production.

Required Qualifications
  • MSc with relevant research experience, or PhD, in Computer Graphics, 3D Computer Vision, Machine Learning, or a closely related field.
  • Demonstrable research experience in 3D Computer Vision and Computer Graphics, with contributions to major venues (e.g., SIGGRAPH, CVPR, NeurIPS, ICCV, ECCV, ICLR) through publications, technical talks, or open-source work.
  • Deep expertise in computer graphics and machine learning, with hands-on experience in areas such as image and video synthesis, relighting, illumination estimation, physically based material decomposition, photorealistic rendering and (Dynamic) Gaussian Splatting.
  • Familiarity with modern generative architectures - diffusion models (image/video), transformer-based methods, or demonstrably transferable experience.
  • Comfortable working at both the algorithmic and implementation levels - from model design and optimization to large-scale data processing and integration into production systems.
  • Track record of translating research into production-quality solutions, navigating real-world constraints such as data limitations, performance requirements, and production timelines.
  • Experience working directly with artists, engineers, or production teams to ensure research outputs meet the quality and usability bar for creative workflows.
  • Strong attention to detail in image and signal processing, with a drive to achieve high-fidelity, visually compelling results.
  • Exceptional communication and collaboration skills, with the ability to work effectively across research, engineering, and creative teams in a fast-paced environment.
  • High level of ownership, initiative, and a positive, problem-solving attitude.

Preferred Qualifications
  • Passion for movies, TV, and storytelling.

About Netflix

Netflix, Inc. is an American media company founded on August 29, 1997 by Reed Hastings and Marc Randolph in Scotts Valley, California, and currently based in Los Gatos, California, with production offices and stages at the Los Angeles-based Hollywood studios (formerly old Warner Brothers studios) and the Albuquerque Studios (formerly ABQ studios). It operates an eponymous over-the-top subscription video on-demand service, which showcases acquired and original programming as well as third-party content licensed from other production companies and distributors. Netflix is also the first streaming media company to be a member of the Motion Picture Association.
Learn more about Netflix
Size
11,300 employees
Market Cap
$127.6 billion
Industry
Hospitality & Recreation
Net Income
$2.7 billion
Founded
1997
5 Year Trend
+27.5%
Revenue
$24.9 billion
NASDAQ
NFLX
* Ladders Estimates

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