Clarence Ng
I work at the intersection of model training and ML systems. Trained the first Video Gen model. Made RL and Agents go Vroom.
My other expertise is in distributed systems — fault tolerance at scale, consensus protocols, data consistency. Tons of fun (and hard) problems that are well understood at this point, with some luckily applicable to machine learning.
I work at the intersection of model training and ML systems. Trained the first Video Gen model. Made RL and Agents go Vroom.
My other expertise is in distributed systems — fault tolerance at scale, consensus protocols, data consistency. Tons of fun (and hard) problems that are well understood at this point, with some luckily applicable to machine learning.
Some of my projects
Computer use (Jan 2026) Improved the reasoning data and trained a foundation model from scratch that is targeted for computer use.
Grok Fast (Sept 2025) Advocated for Grok Fast and led the infra work. Scaled the agent pipelines and datasets.
Grok (Jul 2025-) Shipped parallel test-time compute. Scaled and stabilized the RL big run.
Sora (Jan 2024) Shipped Sora 1 as the #1 core contributor, starting as a forward-deployed engineer before transitioning to the project full-time.
Ray (Mar 2023) TL for Anyscale / Ray. Shipped optimistic memory-based scheduling for ML workloads.
Kubernetes (Jul 2015) Core contributor for Google's cluster management systems, transitioning the company from Borg to Kubernetes.