Senior ML Infrastructure Engineer - Scalable GPU Training
$224k - $280kATOMS Careers page
ATOMS Careers page is seeking a Staff Machine Learning Infrastructure Engineer to design and implement ML training infrastructure in San Francisco. The role involves building high-performance training pipelines and managing distributed GPU workloads. Ideal candidates should have 8+ years of software engineering experience, strong backend programming skills, and expertise in Kubernetes. The position offers a competitive salary range of $224,000 - $280,000 per year, along with comprehensive benefits. #J-18808-Ljbffr ATOMS Careers page
Vacancy posted 1 day ago
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