AI Research Leader

22 hours ago

Adelaide, South Australia beBeeArtificialIntelligence Full time $180,000 - $230,000
Chief Architect of AI Innovation

This is a unique opportunity to lead the development of cutting-edge AI solutions in a world-class research environment.


We are seeking an exceptional individual with expertise in deep learning, machine learning and neural networks to spearhead our AI innovation efforts. As Chief Architect of AI Innovation, you will be responsible for shaping the future of AI at our organization and driving breakthroughs in deep learning that will transform how we apply AI to real-world challenges.


You will work closely with our team of world-leading AI researchers and contribute to global advancements in machine learning. Your vision, creativity and passion for AI will inspire and mentor our PhD interns, nurturing bold thinking and creative exploration.


This role offers the opportunity to expand our research into next-generation AI architectures from Transformers to ConvNets and beyond. You will develop the foundations for building high-performing AI models that are computationally and memory efficient and cost effective.


About the Role

  • Lead the development of cutting-edge AI solutions in a world-class research environment.
  • Drive breakthroughs in deep learning that will transform how we apply AI to real-world challenges.
  • Shape the future of AI at our organization and contribute to global advancements in machine learning.
  • Collaborate with our team of world-leading AI researchers and mentors PhD interns.
  • Develop high-performing AI models that are computationally and memory efficient and cost effective.

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).

Benefits

  • Be part of a dynamic and inclusive team that values diversity and creativity.
  • Enjoy flexible working arrangements and professional development opportunities.
  • Contribute to groundbreaking research that has a positive impact on society.

Seniority Level: Mid-Senior level, Employment Type: Full-time, Job Function: Engineering and Information Technology

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