Deep Learning Researcher
UniversalAGI
About this role
A Deep Learning Researcher at UniversalAGI is responsible for architecting and training foundation models to innovate physics simulation and engineering design. This role involves working closely with the CEO and founding team to design novel deep learning architectures, build scalable training pipelines, and iterate on models based on customer feedback. The researcher will also collaborate with infrastructure teams to optimize training efficiency and validate model performance against real-world data. The ideal candidate will have a strong background in modern deep learning frameworks and experience in deploying models to production in high-stakes industrial environments.
Skills
Qualifications
About UniversalAGI
www.universalagi.comUniversalAGI is revolutionizing physical systems engineering by automating the entire product lifecycle using artificial intelligence. The company is focused on developing foundation models for physics that facilitate end-to-end automation, from initial design through to optimization, validation, and production. By leveraging these advanced AI models, UniversalAGI enables engineers to iterate rapidly, explore a vast array of design variants, and uncover innovative solutions that traditional methods may overlook. Through their cutting-edge technology, UniversalAGI aims to accelerate human progress and innovation in various transformative sectors.
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About UniversalAGI
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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Salary
$176k – $236k
per year