Responsibilities

What You’ll Bring

• Strong experience building and operating distributed systems in production. - Hands-on expertise with distributed training frameworks (FSDP, DeepSpeed, Megatron, or similar). - Deep understanding of model parallelism (data, tensor, pipeline parallelism). - Expert-level Python with production experience (concurrency, error handling, retry logic, clean architecture). - Strong networking fundamentals: P2P systems, gRPC, routing, NAT traversal, distributed coordination. - Experience optimizing GPU workloads, memory management, and large-scale compute efficiency. ## What We Offer

• Equity-heavy compensation with meaningful ownership in a mission-driven company

• Competitive base salary for senior engineering roles in Australia

• Visa sponsorship available for exceptional candidates

• Remote-first with optional access to our Melbourne hub

• World-class team — team mates were previously at at Google, Amazon, Microsoft, and leading startups

Backed by Union Square Ventures and other tier-1 investors, we're a world-class, deeply technical team of ML researchers and engineers. Pluralis is unapologetically ideological. We view the world as a better place if we are able to implement what we are attempting, and Protocol Learning as the only plausible approach to preventing a handful of massive corporations monopolising model development, access and release, and achieving massive economic capture. If this resonates, please apply.