Machine Learning Scientist (L4) - Content & Studio
About The Position
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Studio Media Algorithms team is at the forefront of innovation to enhance and support the vision of creators of movies, TV shows, and other modes of entertainment. This team's work is responsible for increasing member value and driving efficiency of the content creation process, ultimately creating more joy for viewers all over the world. We are seeking early-career talent with demonstrated academic or industry research experience in generative and reconstructive image and video models, such as Diffusion Models and Gaussian Splats, with applications in areas like improving the quality of video content.
Requirements
- 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!
Nice To Haves
- 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.
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.
Benefits
- Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits.
- We also offer paid leave of absence programs.
- Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off.
- Full-time salaried employees are immediately entitled to flexible time off.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
