Machine Learning Engineer - ML Training Platform
Pluralis ResearchMelbourne, Victoria, Australia • Sydney, New South Wales, Australia
Posted February 23, 2026
Full Time
About the Company
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.
Job Description
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.
Requirements
- 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
Benefits
- 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