Research Intern (Summer 2026)

23 Minutes ago • All levels • $93,600 PA - $135,200 PA
Research Development

Job Description

Eyeline Labs, the research and innovation arm of Netflix Eyeline Studios, is seeking exceptional PhD students for Research Intern positions for the Summer 2026 internship program. Interns will work on groundbreaking research projects utilizing video/image generative AI and 4D neural reconstruction/representation techniques. The mission is to revolutionize filmmaking, content (re)creation, and visual effects/enhancements, delivering photorealistic quality with speed and efficiency, and supporting creators in bringing their boldest visions to life.
Must Have:
  • Engage in quick iterations of hands-on research in video/image generative AI and 4D neural reconstruction/representation.
  • Balance research and engineering to develop state-of-the-art techniques for filmmaking, content (re)creation, and visual effects/enhancements.
  • Align closely with filmmakers and artists to prototype AI tools for final pixel quality, production scaling, efficiency, and creativity.
  • Conduct experiments to validate research hypotheses and incubate new ideas into publications.
  • Enrolled in a PhD program in Computer Vision, Graphics, Artificial Intelligence, and/or Machine Learning.
  • Proficiency in Python and other related programming languages.
  • Practical experience with multi-GPU-node neural network training, architecture design for video/image generative AI or 3D reconstruction, and large-scale data processing parallelization.
  • Profound knowledge of content (re)creation using generative AI, including diffusion models.
  • Effective communication skills, both verbal and written.

Add these skills to join the top 1% applicants for this job

real-time-vfx
communication
talent-acquisition
game-texts
computer-vision
spine
python
machine-learning

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 films are made.

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 exceptional PhD students to join Eyeline Labs as Research Interns for the Summer 2026 internship program.

As a Research Intern, you will work on groundbreaking research projects using video/image generative AI and 4D neural reconstruction/representation techniques to revolutionize the field of filmmaking, content (re)creation, and visual effects/enhancements (stylization, relighting, super-resolution, bit depth, etc).

Key Responsibilities

  • Engage in quick iterations of hands-on research in the field of video/image generative AI and 4D neural reconstruction/representation
  • Balance between research and engineering, and develop state-of-the-art techniques to address high-priority challenges in the field of filmmaking, content (re)creation, and visual effects/enhancements (stylization, relighting, super-resolution, bit depth, etc)
  • Align closely with filmmakers and artists to prototype AI tools for their final pixel quality, production scaling, efficiency, and creativity
  • Conduct experiments to validate research hypotheses and incubate new ideas into publications

Qualifications

  • Enrolled in PhD in Computer Vision, Graphics, Artificial Intelligence, and/or Machine Learning
  • Proficiency in Python and other related programming languages
  • Practical experience working with multi-GPU-node neural network training, architecture design for video/image generative AI or 3D reconstruction, as well as large-scale data processing parallelization.
  • Profound knowledge of content (re)creation using generative AI, including diffusion models
  • Effective communication skills, both verbal and written

This salary range is specific to applicants applying to our position in Los Angeles, CA. 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

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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