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Senior AI Infrastructure Architect

3 weeks ago

Brisbane, Queensland, Australia beBeeMachineLearning Full time $180,000 - $250,000

Unlock your potential as a Machine Learning Engineer with our innovative team. We are seeking a talented individual to join our crew and contribute to the development of cutting-edge AI solutions.

About the Role

This is a unique opportunity to take on new challenges and grow professionally. As a Staff Machine Learning Engineer, you will be responsible for designing and implementing foundational AI/ML infrastructure that supports multiple teams and use cases. You will work closely with cross-functional teams to consolidate and improve dataset and training capabilities, ensuring seamless integration and optimal performance.

The successful candidate will possess a strong understanding of distributed computing, container orchestration (Kubernetes), and cloud infrastructure (preferably AWS). Proficiency in Python and deep knowledge of ML frameworks (PyTorch, TensorFlow) are essential. Additionally, experience with modern tools (W&B, Ray, Anyscale) and a proven track record of growing other engineers and contributing to technical culture and standards are highly desirable.

Responsibilities
  • Architecting and implementing AI Platform capabilities, making key technical decisions that impact model training and deployment.
  • Leading cross-team initiatives to consolidate and improve dataset and training capabilities.
  • Building and maintaining high-performance distributed data processing and training systems, optimising for cost efficiency and developer experience.
  • Driving technical strategy discussions, weighing platform stability needs against product velocity requirements.
Requirements

To succeed in this role, you will need:

  • 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.
  • A 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 organisations.
  • Fluency in Python and deep knowledge of ML frameworks (PyTorch, TensorFlow).
  • Strong understanding of generative AI systems, including LLMs, multimodal models, and foundation model fine-tuning.
  • Ability 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.
  • Experience with infrastructure-as-code and an understanding of performance optimisation.
What We Offer

We offer a range of benefits to support your career growth and overall well-being:

  • Equity packages to share in our success.
  • Inclusive parental leave policy supporting all parents & carers.
  • An annual Vibe & Thrive allowance for your wellbeing, social connection, office setup, and more.
  • Flexible leave options empowering you to make a positive impact, recharge, and support yourself personally.
About Us

We celebrate diverse skills and backgrounds at our organisation, so don't hesitate to apply even if you don't feel like your skills perfectly match what's listed above. We look forward to hearing from you