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Senior Machine Learning Engineer

Senior Machine Learning Engineer

SONITECCouncil of the City of Sydney, New South Wales, Australia
4 days ago
Job description

SONITEC Sydney, New South Wales, Australia

Senior Machine Learning Engineer

SONITEC Sydney, New South Wales, Australia

This range is provided by SONITEC. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

A$180,000.00 / yr - A$200,000.00 / yr

Direct message the job poster from SONITEC

We’re partnering with a high-growth technology leader building mission-critical AI systems with global impact. This is an incredible opportunity for an experienced Machine Learning Engineer who thrives at the intersection of AI, automation, and real-world systems .

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.
  • Why this role?

    You’ll be part of a company at the forefront of applied AI innovation — growing fast, building globally, and solving real-world challenges every day. It’s technical. It’s meaningful. And it’s a chance to make an impact you can see.

    If you’re seeking a role where AI meets mission engineering , we’d love to chat.

    Click Apply Now to express your interest — all conversations are handled confidentially.

    Seniority level

    Mid-Senior level

    Employment type

    Full-time

    Job function

    Engineering and Information Technology

    Industry : Defense and Space Manufacturing

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