Watch Netflix movies & TV shows online or stream right to your smart TV, game console, PC, Mac, mobile, tablet and more. Backed by IVP and Redpoint.
About the role
We are looking for a senior engineer with deep expertise in distributed model training and the systems required to operate it at scale. You will help shape the architecture of our training platform, improve performance and reliability for large training jobs, and build intuitive platform experiences for ML engineers. Our infrastructure is built on Kubernetes, Ray clusters, and PyTorch distributed training primitives.
What they're looking for
- Design, build, and operate platform infrastructure, libraries, and SDKs for large-scale model training. Enable reliable and efficient training workflows for foundation models and generative AI models of all sizes
- Diagnose and optimize the performance of large distributed training jobs, including GPU utilization, memory efficiency, communication overhead, data loading, checkpointing, fault tolerance, and cluster utilization
- Experience with cloud computing providers, preferably AWS
- Comfortable with ambiguity and working across multiple layers of the tech stack to execute on both 0-to-1 and 1-to-100 projects
- Adopt and promote best practices in operations, including observability, logging, reporting, and on-call processes to ensure engineering excellence
- Excellent written and verbal communication skills
More about this role
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.
Netflix is the world's leading streaming entertainment service, with 278 million paid members in over 190 countries, enjoying TV series, feature films, and games across numerous genres and languages. Members can watch or play as much as they want, anytime, anywhere, on any internet-connected screen.
Machine Learning/Artificial Intelligence powers innovation in all areas of the business, from helping members choose the right title for them through personalization, to better understanding our audience and our content slate, to optimizing our payment processing and other revenue-focused initiatives. Building highly scalable and differentiated ML infrastructure is key to accelerating this innovation.
We are looking for a senior engineer with deep expertise in distributed model training and the systems required to...
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