Luma’s mission is to build multimodal AI to expand human imagination and capabilities.We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So, we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.
We are looking for people with strong Backend Data Engineering capabilities to build highly efficient, resilient systems & pipelines for large-scale data processing. You’ll be part of Luma’s applied research team and work directly on mission critical work-streams utilizing thousands of GPUs.
Startup mindset
Value velocity and execution.
Communicate clearly.
Focus on building what will matter to users and the product.
Be resourceful at finding creative ways to overcome challenges.
Experience
Very strong generalist python coding.
Requirement of 5+ years of engineering, including 2+ years of work experience in petabyte-level data processing.
Experience engineering large-scale systems that process and serve petabytes of data.
Deep understanding of Kubernetes, SLURM, Ray and other cluster orchestration systems.
Experience working with visual data.
Experience working closely with ML is a strong plus .
We can not consider new grads for this role.
Roles and Responsibilities
Design, build and automate infrastructure for processing data across multiple clusters of thousands of GPUs
Work with researchers to identify and implement technical data requirements, and optimize distributed loading for model training
Work cross-functionally for diverse backend engineering needs
Design & build performant infrastructure to manage and leverage large-scale datasets for our model training.
Building visual AI to expand human imagination and capabilities
