Chief Engineer

3 weeks ago

Adelaide, South Australia Commonwealth Bank Full time
Chief Engineer - AI Research (Deep Learning)

Join to apply for the Chief Engineer - AI Research (Deep Learning) role at Commonwealth Bank


Be part of CBA's ongoing investment into Artificial Intelligence, Machine Learning, and Deep Learning research, in partnership with the Australian Institute for Machine Learning (AIML). Together, we're pushing the boundaries of deep learning research and its real-world application to banking challenges in our research laboratory. We're now seeking a Chief Engineer of AI Research (Deep Learning) to lead the Adelaide-based CommBank Centre for Foundational AI Research to the next groundbreaking phase. We are looking for someone who cares about the inside of AI, not just how it can be put to use.



Your Impact
  • Shape the future of AI innovation, driving breakthroughs in deep learning that will influence global research and transform how AI is applied to real-world banking challenges.
  • Collaborate with world-leading AI researchers and contribute to global advancements in machine learning, with your work influencing both academic thought and industry practice.
  • Lead and inspire a world-class AI research team, bridging academia and industry application.
  • Expand research into next-generation AI architectures from Transformers to ConvNets and beyond.
  • Develop the foundations for building high-performing AI models that are computationally and memory efficient and cost effective.
  • Inspire and mentor our PhD interns, nurturing bold thinking and creative exploration.


About You
  • A Master's/PhD in Machine Learning (or similar) is highly regarded.
  • Creativity & Curiosity for AI Deep Learning research, and passion for bold experimentation.
  • Strategic Vision and fascination for building AI systems for real world challenges.
  • Dedication to developing AI Models that are accurate, fair and transparent, ensuring trust and reliability in real-world deployment.
  • Knowledge of scalable and resource efficient models that are computationally and memory efficient, enabling deployment at scale.
  • Technical expertise in neural network architecture and methods (e.g., LLMs, LMMs, Transformers/ConvNets/RNNs, optimization strategies, big data training algorithms). Taking the models to new architectures and paradigms such as, adding System 2 capabilities – reasoning.
  • Passion for leadership, inspiring and expanding the minds of our academic interns.


Why CBA


Whether you're passionate about customer service, driven by data, or called by creativity, a career with CommBank is for you. Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace. One where we're driven by our values, and supported to share ideas, initiatives, and energy. One where making a positive impact for customers, communities and each other is part of our everyday. Here, you'll thrive.



If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We're keen to support you with the next step in your career.



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Advertising End Date: 25/09/2025



Seniority level
  • Mid-Senior level


Employment type
  • Full-time


Job function
  • Engineering and Information Technology


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Location: Adelaide, South Australia, Australia

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