Software Engineer Data Infrastructure
Luma AI develops multimodal creative AI agents, video and image generation models, and an API for generative media workflows.
Funding history
About Luma AI
Luma AI is an active AI company whose Luma Agents product plans, generates, iterates, and refines creative work across video, image, audio, and text. Its first-party materials describe proprietary Ray video and Uni image models, as well as developer API access.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build and maintain scalable data infrastructure for high-throughput machine-learning workflows. You will develop and optimize large-scale data pipelines and batch jobs, improve platform reliability and performance, integrate open-source tools, and troubleshoot data systems.
Requirements
- Proficiency in Python or similar languages and willingness to learn Python
- Experience with large-scale, high-throughput data infrastructure
- Familiarity with distributed computing frameworks such as Ray, Spark, or Beam
- Ability to design and optimize data pipelines for machine-learning research and internal teams
- Understanding of data engineering at scale
- Experience sourcing, integrating, and optimizing diverse large datasets
Responsibilities
- Build and maintain scalable data infrastructure for machine-learning workflows
- Develop and optimize large-scale data pipelines and batch processing jobs
- Contribute to reliable, high-performance data platform architecture and implementation
- Integrate open-source tools and improve infrastructure through monitoring and tuning
- Improve data reliability, scalability, and operational excellence
- Evaluate and adopt programming languages and frameworks for data infrastructure
- Troubleshoot and tune data infrastructure performance
- Define and refine data infrastructure development practices
Benefits
- Equity
