Machine Learning Cloud Infrastructure Engineer

UniversalAGI(2 months ago)

San Francisco, CAOnsiteFull TimeSenior$179,983 - $241,682 (estimated)Technical Staff

About this role

A Machine Learning Cloud Infrastructure Engineer at UniversalAGI is responsible for building and scaling the infrastructure that supports AI for physics, focusing on training and serving foundation models in production. This role involves designing low-latency model serving systems, optimizing distributed training across multi-GPU clusters, and integrating customer-specific solutions while ensuring compliance with enterprise security requirements. The engineer will work directly with the CEO and founding team to enhance infrastructure capabilities and address customer needs effectively.

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Required Skills

Machine Learning
Cloud Infrastructure
Fine Tuning
Training Pipelines
Model Serving
Low Latency
Distributed Training
Multi-GPU
Multi-Node Clusters
Cost Optimization

+27 more

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.