Deep Learning Researcher

UniversalAGI(2 months ago)

San Francisco, CAOnsiteFull TimeSenior$175,585 - $236,092 (estimated)Technical Staff

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.

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Required Skills

Deep Learning
Model Training
Physics Simulation
Model Architectures
Data Preprocessing
Tokenization Strategies
Loss Functions
Training Loops
Model Optimization
Physics-Informed Learning

+16 more

Qualifications

PhD or Masters in ML/AI, Physics, or related field (or equivalent industry experience)

About UniversalAGI

www.universalagi.com

UniversalAGI 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.