Advanced AI Infrastructure Specialist

1 week ago


Brisbane, Queensland, Australia beBeeEngineer Full time $180,000 - $210,000
Machine Learning Engineer Role

This position is responsible for the development of AI infrastructure that supports multiple teams and use cases.

  • Architect foundational AI platform capabilities, making key technical decisions that impact model training and deployment.
  • Lead cross-team initiatives to consolidate and improve dataset and training capabilities.
  • Build and maintain high-performance distributed data processing and training systems, optimizing for cost efficiency and developer experience.
  • Drive technical strategy discussions, weighing platform stability needs against product velocity requirements.
  • Mentor other engineers and contribute to growing AI platform engineering capabilities.
  • Solve complex technical challenges spanning multiple parts of the ML stack.
Requirements
  • Over 5 years of experience building and scaling ML training systems, with hands-on experience in distributed training, model lifecycle management, and large-scale data processing.
  • Proven track record of designing and implementing foundational AI/ML infrastructure that supports multiple teams and use cases.
  • Experience setting technical direction, making architectural decisions, and influencing engineering practices across organizations.
  • Strong understanding of distributed computing, container orchestration, and cloud infrastructure.
  • Fluent in Python with deep knowledge of ML frameworks and modern tools.
  • Strong understanding of generative AI systems, including LLMs, multimodal models, and foundation model fine-tuning.
  • Able to balance long-term platform investments with immediate business needs, making pragmatic technical decisions.
  • Experience working with product teams, research, and other engineering specialties to understand and address diverse technical requirements.
  • Track record of growing other engineers and contributing to technical culture and standards.
Benefits
  • Equity packages.
  • Inclusive parental leave policy.
  • Annual Vibe & Thrive allowance.
  • Flexible leave options.
What Else You Should Know

We make hiring decisions based on your experience, skills, and passion. We celebrate all types of skills and backgrounds.



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