Building Intelligent Systems as a Principal Machine Learning Engineer

2 days ago

Sydney, New South Wales, Australia beBeeMachineLearning Full time $130,000 - $185,000

**Expert Machine Learning Engineer Role**

As a Principal Machine Learning Engineer, you will play a crucial part in shaping cutting-edge products powered by large language models (LLMs) and agentic AI systems. This high-profile position sits at the forefront of a technology initiative that focuses on integrating intelligent systems directly into customer workflows.

This leadership role requires a technical expert with a strong bias toward delivery and real-world impact. You should have hands-on experience building ML products, fixing production bugs, collaborating with design teams, and shipping customer-facing software at scale.

Key Responsibilities:

  • Develop a new LLM-based product focusing on insurance customer workflows.
  • Design, code, and deploy production-grade ML systems using modern tools and frameworks.
  • Contribute to product strategy with visibility across senior leadership and future scalability in mind.
  • Mentor team members and grow into a leadership role as the team scales.

Requirements:

  • Proven experience in Machine Learning Engineering delivering real-world systems and products at scale powered by LLMs.
  • A background in engineering and scaling customer-facing products.
  • Solid understanding of AWS Infrastructure for collaboration purposes.
  • Genuine excitement about Agentic AI, LLMs, and technology.
  • Customer-obsessed: seeing AI as a means to solve real user problems.
  • Bachelor's or higher degree in a relevant field.

What We Offer:

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