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Machine Learning Engineer - ML Training Platform at Pluralis Research
Pluralis ResearchMelbourne·4h ago
Mid LevelFull-timePythonAWSGCPAzureKubernetesDockerTerraformAIML
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for an ML Training Platform Engineer to architect, build, and scale the foundational infrastructure for our decentralized ML training platform. This role involves owning core systems for infrastructure orchestration, distributed compute, and services integration.
Key Responsibilities
- →Design resource management systems for multi-cloud infrastructure across AWS, GCP, and Azure
- →Architect fault-tolerant infrastructure for distributed ML training
- →Build systems that simulate and handle real-world network conditions
Requirements
- ✓5+ years of experience in infrastructure and platform engineering
- ✓Production experience with infrastructure-as-code (Pulumi/Terraform)
- ✓Deep understanding of distributed training workflows and checkpointing
- ✓Strong Python engineering skills with experience in observability and monitoring
Benefits
- ★Opportunity to work on pioneering Protocol Learning technology
- ★Join a world-class, deeply technical team of ML researchers
- ★Backed by Union Square Ventures and other tier-1 investors
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