About the role#
Gaussian Splatting is a 3D and 4D scene reconstruction technique that allows for photorealistic novel-view synthesis. Because it offers low rendering complexity, it is a candidate for playback on consumer devices like TVs, streaming sticks, and phones. This 24-week internship focuses on evaluating Gaussian Splatting as a potential future streaming format. You will work with the Video Algorithms team to address technical hurdles, including model training time and compression efficiency, to help build a practical system.
What you'll do#
- Explore strategies for compressing Gaussian Splatting models using open datasets.
- Identify and test methods to reduce training and encoding time.
- Characterize the trade-offs between model size, training time, and rendered quality while comparing these against streaming rate targets.
- Contribute to research on dataset needs for representative scenes.
- Design and build a proof-of-concept that demonstrates Gaussian Splatting-based rendering.
What you'll need#
- You are currently pursuing a PhD in Computer Science, Engineering, Mathematics, Statistics, or a related field, with an expected graduation date in June 2027 or later.
- You have a strong background in 3D or 4D scene reconstruction, neural graphics, or related research areas.
- You are fluent in Python and comfortable with software engineering practices like version control, testing, and code reviews.
- You possess a solid understanding of machine learning and deep learning concepts with hands-on experience in training and evaluating models.
Location & details#
- This is a full-time, paid internship located on-site in Los Gatos, California.
- The term for this role is Fall 2026.
About Netflix
Netflix provides entertainment services including television series, films, games, and live programming. The company operates across various genres and languages for a global audience. Founded in 1997, it maintains headquarters in Los Gatos, California. The organization employs over 18,000 people and functions as a public company.
How to get in at Netflix
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