Principal ML Systems Engineer — Life Sciences

Lila Sciences in San Francisco is looking for a Principal ML Engineer to design and scale the machine learning infrastructure for scientific applications. This role involves developing large-scale training pipelines, managing end-to-end ML systems, and collaborating across teams to bridge the gap between machine learning research and production. Candidates should have a Master's in Computer Science or a related field, 10+ years in production ML, and deep expertise in distributed training systems. A competitive compensation package is offered.

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