Machine Learning - Research
causal
About this role
Causal Labs is developing groundbreaking AI capable of predicting the future and identifying actions to change it, with a focus on physical systems like weather to build a Large Physics foundation Model. They are seeking researchers and engineers to contribute across the entire machine learning stack, implementing novel architectures and handling massive multimodal datasets.
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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