Machine Learning Engineer

📋 Job Overview

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. By pooling compute from many participants, incentivising their efforts, and preventing any single party from controlling a model’s full weights, we’re creating a genuinely open, collaborative path to frontier-scale AI.

🏢 About Pluralis Research

We’re looking for an ML Training Platform Engineer to architect, build, and scale the foundational infrastructure powering our decentralized ML training platform. You will own core systems spanning infrastructure orchestration, distributed compute, and services integration, enabling continuous experimentation and large-scale model training.

🎯 The Role

You will be responsible for designing and implementing the core systems that power our decentralized ML training platform, including infrastructure orchestration, distributed compute, and services integration.

✅ Key Responsibilities

• Design resource management systems provisioning and orchestrating compute across AWS, GCP, and Azure using infrastructure-as-code (Pulumi/Terraform).
• Handle dynamic scaling, state synchronization, and concurrent operations across hundreds of heterogeneous nodes.
• Architect fault-tolerant infrastructure for distributed ML, including GPU clusters, NVIDIA runtime, S3 checkpointing, Large dataset management and streaming, health monitoring, and resilient retry strategies.
• Build systems that simulate and handle real-world network conditions — bandwidth shaping, latency injection, packet loss — while managing dynamic node churn and ensuring efficient data flow across workers with heterogeneous connectivity.

📌 Required Qualifications

• Ideally, you’ll have 5+ years of work experience with deep experience in Infrastructure & Platform Engineering, Distributed Systems & ML Infrastructure, and Systems Programming & Reliability.

⭐ Desirable Experience

• Experience in a startup environment with an emphasis on micro-services orchestration or big tech background.
• Deep understanding of multi-cloud infra & distributed training systems.
• A team player with high attention to detail.
• A strong passion to join.

🎁 Benefits

Competitive Compensation Package: High base salary and options packages for our core technical team members. Everyone should be rewarded now, and in the future for their hard work. 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.

🛂 Visa & Eligibility

Visa sponsorship available for exceptional candidates.