Research Scientist / Engineer – Training Infrastructure
Luma AIVisit Luma AI website
Luma AI develops multimodal creative AI agents, video and image generation models, and an API for generative media workflows.
Maintainer signals as of 9/25/2026
Redwood City, United States
Funding history
About Luma AI
Luma AI is an active AI company whose Luma Agents product plans, generates, iterates, and refines creative work across video, image, audio, and text. Its first-party materials describe proprietary Ray video and Uni image models, as well as developer API access.
Skills
About the Role
You will design, implement, and optimize distributed training systems for models running across thousands of GPUs. You will implement advanced parallelization, build monitoring and debugging tools, and improve training stability, convergence, and resource utilization across large clusters.
Requirements
- Extensive distributed PyTorch training and parallelism experience in foundation-model training
- Deep understanding of GPU clusters, networking, and storage systems
- Familiarity with communication libraries and distributed-system optimization
Responsibilities
- Design, implement, and optimize distributed training systems across thousands of GPUs
- Research and implement advanced parallelization
- Build monitoring, visualization, and debugging tools for large-scale training runs
- Optimize training stability, convergence, and resource utilization across massive clusters