Research Intern (Fall 2025)
Job Summary
Job Description
As a Research Intern at Eyeline Studios, you will be part of an innovative team of researchers, developers, and virtual storytellers. You will work on groundbreaking research projects using video/image generative AI and 3D neural representation/reconstruction techniques. Your responsibilities will include developing and implementing innovative algorithms, conducting experiments to validate research hypotheses, and prototyping new ideas to revolutionize filmmaking, content (re)creation, and visual effects/enhancements. The role offers a chance to push the boundaries of visual effects, supported by Netflix's investment in the company.
Must have:
- Enrolled in PhD in Computer Vision, Graphics, AI, or Machine Learning.
- Demonstrated software engineer experience.
- Expert knowledge of Python, C++, or related programming language.
- Practical experience with neural network training/inference and architecture design.
- Practical knowledge of content (re)creation using generative AI.
- Effective communication skills, both verbal and written.
8 skills required
Job Details
Eyeline Studios
At Eyeline, Scanline VFX's virtual production division, 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 our research team as Research Interns for the Summer 2025 internship program.
As a Research Intern, you will work on groundbreaking research projects using video/image generative AI and 3D neural representation/reconstruction techniques to revolutionize the field of filmmaking, content (re)creation, and visual effects/enhancements (relighting, super-resolution, stylization, etc).
Key Responsibilities
- Engage in hands-on research activities related to video/image generative AI and 3D neural representation/reconstruction
- Work on developing and implementing innovative algorithms and techniques to address challenges in the field of filmmaking, content (re)creation, and visual effects/enhancements (relighting, super-resolution, stylization, etc)
- Conduct experiments to validate research hypotheses and prototype new ideas
Qualifications
- Enrolled in PhD in Computer Vision, Graphics, Artificial Intelligence, and/or Machine Learning.
- Demonstrated software engineer experience
- Expert knowledge of Python, C++, or other related programming language
- Practical experience working with neural network training/inference and architecture design for video/image generative AI or 3D representation
- Practical knowledge of content (re)creation using generative AI, including diffusion models
- Effective communication skills, both verbal and written
$45 - $65 an hour
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
Scanline VFX is an award-winning leader in the visual effects industry with 8 studios worldwide, including London, Los Angeles, Montreal, Munich (will cease to operate by year's end), Seoul, Mumbai 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.
We look for explorers, people who are willing to go to new places and are open to testing, learning and iterating as they go. We believe great ideas come from everyone, so we actively encourage team members to ask questions and present their ideas.
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.
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