ashby
Software Engineer - Data Infrastructure
Luma AI
Redwood City, USA
Full-time
Mid
Hybrid
USD 170000-360000 yearly / year
Discovered 1 weeks ago
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Role Overview
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.
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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 platforms
- Integrate open-source tools and continuously improve data infrastructure through monitoring and tuning
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