Machine Learning Engineer

Pluralis Research is pioneering Protocol Learning—a fully decentralised way to train and deploy AI models that opens this layer to individuals rather than well resourced corporates. As an ML Engineer, you'll implement and optimize low-bandwidth model-parallel training systems that enable truly distributed language model development.

Requirements

• Master's degree in Computer Science or related field, or equivalent experience.
• Several years of hands-on ML engineering experience.
• Strong understanding of model parallelism techniques, distributed training architectures, and optimization methods.
• Expert-level skills in PyTorch or similar frameworks, with experience scaling models across multiple devices.
• Familiarity with networking concepts, distributed computing principles, and performance optimization.

Benefits

• Equity-Heavy Package
• Competitive Base
• Visa Sponsorship
• Remote-First Culture
• Cutting-Edge Domain