The Role
The role involves designing and building resilient data processing infrastructure, optimizing systems for large-scale data operations, and collaborating with researchers on technical requirements.
Summary Generated by Built In
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.
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.
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 .
Compensation
- The pay range for this position in California is $180,000 - $250,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan.
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Top Skills
Kubernetes
Python
Ray
Slurm
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The Company
What We Do
Luma is a multimedia platform that delivers personalized movie and TV program selections from a range of sources to its viewers.
