Machine Learning Engineer

Pluralis Research(1 month ago)

RemoteFull TimeSenior$140,745 - $189,867 (estimated)Engineering

About this role

The Machine Learning Engineer at Pluralis Research is responsible for implementing and optimizing low-bandwidth model-parallel training systems to facilitate decentralized AI model development. The role involves building robust training pipelines, reducing communication overhead, and ensuring model performance in distributed networks. Candidates should possess strong Python skills, expertise in distributed training architectures, and familiarity with performance optimization techniques in a decentralized context. Additionally, experience with large language models and high-performance computing is preferred.

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Required Skills

Distributed Training
Performance Optimization
Python Proficiency
Training Infrastructure
Model Serving
Metrics Monitoring
Technical Excellence
ML Systems Knowledge
Programming Proficiency
Systems Understanding

+5 more

Qualifications

Master's degree in Computer Science or related field
Several years of hands-on ML engineering experience

About Pluralis Research

pluralis.ai

Pluralis Research is at the forefront of innovative machine learning techniques, specializing in Protocol Learning, which focuses on decentralized, communication-efficient model-parallel training for foundation models. Their research facilitates the multi-participant training of models, enabling collaborative efforts without any single participant ever possessing the complete model—promoting community ownership and sustainable economies. They strive to create cutting-edge, self-sustaining models that push the boundaries of traditional AI development. With a commitment to open-source collaboration, Pluralis Research is shaping the future of AI technologies.