Machine Learning Engineer

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October 23

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Pluralis Research

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Artificial Intelligence • Web 3

Pluralis Research is a foundational AI research lab focused on Protocol Learning — decentralized, multi‑participant training of foundation models where no single participant holds a full copy of the model. The group develops methods to enable communication‑efficient model and pipeline parallelism, unextractable collaborative models, and high‑compression context parallelism so community‑trained, community‑owned frontier models can scale over low‑bandwidth, internet‑connected devices. Their work targets practical systems and algorithms that make decentralized training competitive with centralized training while enabling new ownership and economic models.

1 - 10 employees

🤖 Artificial Intelligence

🌐 Web 3

📋 Description

• Distributed Training Implementation: Build and optimize systems for training large models across heterogeneous hardware connected by low-bandwidth networks. • Performance Optimization: Implement techniques to reduce communication overhead while maintaining model convergence in challenging network environments. • Training Infrastructure: Design and develop robust training pipelines that can recover from node failures and network disruptions. • Model Serving: Create efficient systems for deploying sharded models in a protocol-locked environment. • Metrics & Monitoring: Develop tools to track training progress, evaluate model quality, and identify bottlenecks in distributed environments.

🎯 Requirements

• Technical Excellence: Master's degree in Computer Science or related field, or equivalent experience. Several years of hands-on ML engineering experience. • ML Systems Knowledge: Strong understanding of model parallelism techniques, distributed training architectures, and optimization methods. • Programming Proficiency: Expert-level skills in PyTorch or similar frameworks, with experience scaling models across multiple devices. • Systems Understanding: Familiarity with networking concepts, distributed computing principles, and performance optimization. • Bonus: Experience with large language models, high-performance computing, or network-constrained environments.

🏖️ Benefits

• Equity-Heavy Package: We offer meaningful ownership or token allocations for key technical contributors. • Competitive Base: Pluralis is hiring the best. • Visa Sponsorship: Optional full visa sponsorship and relocation support to either US or Australia. • Remote-First Culture: Flexible work environment with team members distributed globally. We have two hubs; New York and Melbourne with optional hybrid work if desired. • Cutting-Edge Domain: Work at the intersection of AI and decentralised systems, tackling some of the most challenging engineering problems in what is about to be one of the largest intersections of two previously non-overlapping fields ever.