Machine Learning - Infrastructure
causal
About this role
Causal Labs is seeking infrastructure engineers to develop large-scale ML training and inference clusters, manage petabyte-scale datasets, and optimize performance for large models in pursuits like physics-based AI. The role involves designing distributed systems, developing scalable pipelines, and enhancing performance across various cloud platforms and containerization tools.
Skills
About causal
causal.appLucaNet offers Extended Planning and Analysis (xP&A) software, a solution designed to unify planning and analytics for finance teams. The platform provides unified insights, enhanced collaboration, and cloud connectivity to support smarter decision-making. This xP&A offering is a core part of LucaNet’s financial planning and analysis solutions. By enabling more integrated and agile planning, LucaNet helps transform financial strategy and unlock business potential.
About causal
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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