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AI Platform Engineer

2 weeks ago

Melbourne, Victoria, Australia beBeeCareer Full time $150,000 - $240,000
Job Overview

As a machine learning engineer at our company, you will be responsible for architecting foundational AI platform capabilities and making key technical decisions that impact how models are trained and deployed.

The role involves leading cross-team initiatives to consolidate and improve dataset and training capabilities, working with stakeholders across multiple engineering and research teams.

You will also build and maintain paved roads for high-performance distributed data processing and training systems, optimising for cost efficiency and developer experience.

In addition, you will drive technical strategy discussions, weighing platform stability needs against product velocity requirements, and mentoring other engineers to contribute to growing our AI platform engineering capabilities.

This is a highly complex technical challenge that spans multiple parts of the ML stack. If you're up for it, we encourage you to apply.

Required Skills and Qualifications
  • 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 organisations.
  • Strong understanding of distributed computing, container orchestration (Kubernetes), and cloud infrastructure (preferably AWS).
  • Fluency in Python with deep knowledge of ML frameworks (PyTorch, TensorFlow) and modern tools (W&B, Ray, Anyscale).
  • 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.
  • Consideration of GitOps principles for automation and deployment a plus.
Benefits

We offer a range of benefits to support your wellbeing and career growth:

  • Equity packages
  • Inclusive parental leave policy
  • Annual Vibe & Thrive allowance
  • Flexible leave options

Check out our website for more information on what it's like to work here and the benefits we offer.

Other Information

We celebrate all types of skills and backgrounds at our company and see AI as a powerful amplifier of creativity and technology. We're evolving how we assess AI skills in our Technology hiring experience and make hiring decisions based on your experience, skills and passion, as well as how you can enhance our company and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.