Research Engineer, Distributed Training

Harmonic(1 month ago)

Palo Alto, CAOnsiteFull TimeMedior$200,000 - $300,000Engineering

About this role

A Research Engineer in Distributed Training at Harmonic focuses on advancing their mathematical reasoning engine by optimizing and scaling reinforcement learning systems. The role involves conducting research and implementing solutions in model architecture, algorithms, data processing, and optimization, with a strong emphasis on distributed training and GPU acceleration. Candidates should have expertise in Python, PyTorch, and experience with large-scale GPU clusters and high-performance computing environments.

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Required Skills

Research
Implementation
Model Architecture
Algorithms
Data Processing
Optimization
Training Infrastructure
Reinforcement Learning
Python
PyTorch

+9 more

Qualifications

BS in Computer Science, related technical fields, or equivalent industry experience
MS or PhD in Computer Science, Mathematics, or related technical fields

About Harmonic

harmonic.fun

Harmonic is a pioneering platform focused on leveraging artificial intelligence for formal mathematical reasoning. The company aims to enhance human advancement in science and engineering by developing mathematical superintelligence, which accelerates the discovery of fundamental truths about our universe. Through its innovative tools and technologies, Harmonic empowers researchers and scientists to solve complex problems by utilizing the language of mathematics as a means of reasoning.