Software Engineer - Data Infrastructure
About the Role
As a Data Infrastructure Engineer in Research at Luma, you will play a critical role in building and scaling the data infrastructure that supports our cutting-edge multimodal AI systems. Your work will focus on developing high-throughput, large-scale data processing pipelines tailored for machine learning research and internal ML platform needs. You will collaborate closely with ML researchers and product teams to create reliable, efficient, and easy-to-use data infrastructure that empowers innovation and accelerates development. This role requires a strong foundation in distributed systems and data engineering, with an emphasis on supporting complex machine learning workflows rather than traditional product data infrastructure.
Responsibilities
Build and maintain scalable data infrastructure for high-throughput machine learning workflows
Collaborate with ML researchers and product teams to ensure data systems meet evolving needs
Develop and optimize large-scale data pipelines and batch processing jobs
Contribute to the architecture and implementation of reliable, high-performance data plat
