Senior AI/ML Engineer

12 hours ago

Sydney, New South Wales, Australia DroneShield Full time $120,000 - $180,000 per year

About the role

In this role, you will drive the design and deployment of state-of-the-art deep learning algorithms, with a strong focus on real-world applications in RF and multi-modal domains.

You'll lead end-to-end machine learning initiatives - from research and experimentation to scalable production deployment - shaping the future of how AI is applied in defence and security. This position offers the rare opportunity to work on high-impact problems where cutting-edge ML research directly translates into operational advantage for customers worldwide.

Responsibilities, Duties and Expectations 

  • Design and develop production-grade DL algorithms based on state-of-the-art research for diverse RF-based applications.
  • Lead the end-to-end ML experimentation cycle, including workflow design, algorithm implementation, evaluation, and result analysis.
  • Define long-term (monthly) research objectives and deliver on short-term (weekly) milestones.
  • Write production-quality code following software engineering best practices (e.g., test, version control, modularity).
  • Optimize model training (e.g., distributed clusters), post-training (e.g., quantization, ONNX), and inference on modern AI hardware (e.g., GPUs, TPUs, NPUs, FPGAs).
  • Mentor junior team members and foster a collaborative, high-performance culture.
  • Collaborate with engineering teams to integrate and deploy models into production systems.
  • Ensure high standards in code quality, reproducibility, and documentation.

Qualifications, Experience and Skills 

  • PhD in Computer Science or related field, or equivalent practical experience.
  • Strong foundation in machine learning (ML), deep learning (DL), statistics, and optimization.
  • 4+ years of experience across the full machine learning lifecycle – from data preparation and model development to deployment and monitoring.
  • Expertise in three or more areas such as object detection, uncertainty estimation, out-of-distribution handling, self-supervised learning, few-shot learning, reinforcement learning, and explainable AI.
  • First-author publications in top-tier AI conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML).
  • Proficient in PyTorch, Python, software engineering practices, and modern ML/data science libraries (e.g., NumPy and Pandas).
  • Experience working with large-scale (terabytes), high-dimensional, and heterogeneous data.
  • Experience deploying models to resource-constrained environments (e.g., edge devices, embedded systems).
  • Strong communication skills, with the ability to explain technical concepts to non-experts and collaborate across multidisciplinary teams.
  • Experience with PyTorch Lightning is a plus.
  • Familiarity with radio frequency (RF) datasets is a bonus.

Who you are

  • You thrive on pushing the limits of ML model performance in real-world production environments.
  • You're motivated by deploying complex models that make real impact.
  • You enjoy the full ML lifecycle - from data collection to production monitoring.
  • You're a self-driven, lifelong learner who stays current with best practices in your domain.
  • You have experience with modern ML infrastructure and tools.
  • You're comfortable running software in Linux-based environments.
  • You're ambitious and motivated to help grow the company and compete at the highest level.
  • You work well independently and as part of a collaborative team.

Note for recruitment agencies: We do not accept unsolicited candidates from external recruiters unless specifically instructed.

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