Machine Learning Engineer - Distributed ML Systems

Overview

Pluralis Research carries out foundational research on Protocol Learning: multi-participant training of foundation models where no single participant has, or can ever obtain, a full copy of the model. The purpose of Protocol Learning is to facilitate the creation of community-trained and community-owned frontier models with self-sustaining economics.

We’re looking for Senior/Staff engineers with 5+ years of experience in distributed systems and ML large‑scale training. You’ll be implementing a novel substrate for training distributed ML models that work under consumer‑grade internet connection.

Responsibilities

Distributed Training Architecture & Optimization

• Design and implement large‑scale distributed training systems optimized for heterogeneous hardware operating under low‑bandwidth, high‑latency conditions.
• Develop and optimise model‑parallel training strategies (data, tensor, pipeline parallelism) w...