Machine Learning Engineer - ML Training Platform

Pluralis Research is pioneering Protocol Learning—a fully decentralised way to train and deploy AI models. We're looking for an ML Training Platform Engineer to architect, build, and scale the foundational infrastructure powering our decentralized ML training platform.

Requirements

• Design resource management systems provisioning and orchestrating compute across AWS, GCP, and Azure using infrastructure-as-code (Pulumi/Terraform)
• Architect fault-tolerant infrastructure for distributed ML
• Build systems that simulate and handle real-world network conditions
• Strong Python engineering (asyncio, concurrency, retry logic, cloud SDKs, CLI tooling)
• Hands-on experience in observability, SRE practices, monitoring (Prometheus/Grafana), performance profiling, and incident response
• 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
• Strong attention to detail and a team player

Benefits

• 401k Matching
• Retirement Plan
• Tuition Reimbursement
• Relocation Assistance