Machine Learning Engineer - ML Training Platform
Pluralis Research
Melbourne
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: []Senior/Staff ML engineer to design and optimize large-scale distributed training systems for foundation models, focusing on low-bandwidth, high-latency environments. You’ll implement model-parallel training strategies, manage GPU/memory efficiency, and build robust fault-tolerant training pipelines, while enabling decentralized networking and resilient coordination across distributed nodes.

