Software Engineer - Data Infrastructure

Luma

• КомпанияLuma
• ФорматГибрид
• ГрафикHybrid
• АдресRedwood City, CA

Описание

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.

Обязанности

• 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 platforms

• Integrate open-source tools and continuously improve data infrastructure through monitoring and tuning

• Participate in cross-functional projects to improve data reliability, scalability, and operational excellence

• Support the evaluation and adoption of new programming languages and frameworks relevant to data infrastructure

• Engage in continuous…

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