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High growth consumer startup focused on building multimodal AI for expanding human imagination and capabilities.
Updated
Luma’s mission is to build multimodal AI to expand human imagination and capabilities.
We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So, we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.
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.
Value velocity and execution.
Communicate clearly.
Focus on building what will matter to users and the product.
Be resourceful at finding creative ways to overcome challenges.
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 .
We can not consider new grads for this role.
$170,000 - $250,000 a year
The pay range for this position in California is $170,000 - $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.
All your applications are reviewed by real people.
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