Creative Tech Researcher 4
$300,000–$537,000 year
On-site · Los Angeles, California, United States
Job Summary
Machine Learning Researcher to define the next generation of Netflix's Creative Technology. You will integrate groundbreaking research into Netflix's production ecosystem, solving technical challenges to enable image and video generation and editing, scalable training on large clusters, and evaluation benchmarks across cross-team collaborations. Responsibilities include developing and optimizing model architectures for image/video generation, preparing data for training large models, implementing efficient distributed training and data loading infra, and conducting cross-team evaluations to build representative benchmarks for quality across model outputs. About You: expertise in deep learning fundamentals (Transformers, Diffusion, etc.), data-centric mindset, experience with distributed systems for training/inference, and the ability to operate in a fast-paced, innovative culture. Bonus experience in delivering high-impact products or open-source projects.
Required Qualifications
- Deep understanding of fundamentals in deep learning, such as Transformers, Diffusion, etc.
- Data preparation and curation
- Distributed training and inference on large-scale clusters
- Ability to operate in a fast-paced, innovative culture with high-visibility problems
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.