Copy of Research Scientist / Engineer – Training Infrastructure
About this role
The Research Scientist / Engineer – Training Infrastructure role at Luma AI in London, UK suits an engineer with a background in solving real foundation-model training challenges at scale. Candidates will focus on building robust distributed systems to support large-scale multimodal models across thousands of GPUs.
Role Overview
Luma AI is hiring a Research Scientist / Engineer for its Training Infrastructure team located in London, UK. This full-time position centers on constructing distributed systems that allow researchers to innovate on top of efficient and reliable infrastructure.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
About the Company
Luma AI operates as an equal opportunity employer with a mission to develop unified general intelligence capable of generating, understanding, and operating within the physical world. The company emphasizes multimodality and vision as the next step beyond standard language models.
How to Apply
Interested candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
Where is the position located?
The role is based in London, UK.
What core technologies are used in this role?
The work involves PyTorch, CUDA, distributed-systems frameworks, FSDP, NCCL, and MPI.
What are the primary responsibilities?
Responsibilities include designing distributed training systems across thousands of GPUs, implementing advanced parallelization, building monitoring and debugging tools, and optimizing training stability.
What experience is considered a plus?
Helpful experience includes Linux systems administration, managing training runs across 100+ GPUs, and working with containerization, orchestration, and cloud infrastructure.