Netflix · 4 hours ago
Machine Learning Scientist (L4) - Content & Studio
United States
Full-time
Remote
Mid Level
$150K/yr - $750K/yrNetflix is one of the world's leading entertainment services, and they are seeking a Machine Learning Scientist to enhance the quality of images and videos for their Studio Media Algorithms team. The role involves designing machine learning models, collaborating with interdisciplinary teams, and optimizing ML models in production environments.
Digital EntertainmentMedia and EntertainmentTVVideo Streaming
Responsibilities
Design and develop machine learning models that enhance the quality of images and videos using techniques such as super-resolution, detail generation, and SDR-to-HDR conversion
Stay on top of academic research in video-quality space, and find innovative ways to further the state-of-the-art while keeping the goals of the use-cases central to the research
Collaborate with interdisciplinary teams, including data scientists, engineers, product managers, and creative professionals, to align machine learning solutions with studio needs and creative goals
Drive the deployment and optimization of ML models in production environments, ensuring robust performance and scalability
Inform and advocate for the building of the right infrastructure pieces needed to scale media search systems
Qualification
Required
Demonstrated experience in Machine Learning research with a track record of academic publications, and a passion for furthering state-of-the-art research
Deep understanding of generative and reconstructive technologies such as Diffusion models, Gaussian Splatting, Super-Resolution, SDR to HDR, etc
A passion for image and video processing, computational photography, color-science, and adjacent fields
Proficient in programming languages such as Python, with experience in ML frameworks like PyTorch
Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary environment
Experience with cloud-based ML deployment and large-scale data processing systems - for example, Dockerization!
Preferred
Deeper knowledge of color science and ACES Color Standards
Familiarity with the content creation process, including media production and post-production workflows
Working knowledge of media-production adjacent tools such as AVID, Davinci-Resolve, etc
Company
Netflix
Netflix is an online streaming platform that enables users to watch TV shows and movies.
Founded in 1997
10001+ employees
H1B Sponsorship
Netflix has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (230)
2024 (309)
2023 (191)
2022 (261)
2021 (268)
2020 (225)
Funding
Current Stage
Public CompanyTotal Funding
$63.91BKey Investors
Wells FargoTCVGroupe Arnault
2025-12-05Post Ipo Debt· $59B
2024-08-01Post Ipo Debt· $1.8B
2018-05-05Post Ipo Debt· $2.67M
Leadership Team
Gregory Peters
Co-CEO
Ted Sarandos
Co-CEO
Recent News
2025-12-30
Company data provided by crunchbase