Experience in AI/ML research or applied AI research, preferably developing and evaluating machine learning models

On-site in Clayton

About the role

We are seeking an experienced AI Researcher for an opportunity working with a federal government department. The role will focus on researching and developing AI/ML approaches, investigating emerging techniques, designing and conducting experiments, and evaluating model performance. You will collaborate with researchers, data scientists and software engineers to develop and implement AI/ML solutions based on research findings.

Australian Citizenship is mandatory

Key responsibilities

- Research and investigate AI/ML techniques and approaches relevant to real-world applications
- Review and interpret academic research papers and emerging AI/ML techniques
- Implement and experiment with algorithms and approaches from research papers
- Design and conduct experiments to investigate and improve AI/ML models
- Develop and fine-tune machine learning models using Python and relevant ML frameworks
- Evaluate and benchmark model performance using appropriate metrics and comparative analysis
- Analyse experimental results and identify opportunities for improvement
- Work with large datasets, including data preparation, preprocessing and augmentation




- Collaborate with software engineers to implement research findings into practical AI/ML solutions
- Document research findings and contribute to technical reports and academic publications
- Collaborate with researchers, data scientists and engineers throughout the research and implementation lifecycle

About you

- Experience in AI/ML research, applied research or a closely related field
- Robust Python programming and machine learning experience
- Experience implementing or adapting approaches from academic research papers
- Strong understanding of machine learning algorithms and AI model architectures
- Experience developing, fine-tuning and experimenting with ML models
- Experience designing experiments and evaluating/benchmarking model performance
- Strong analytical and problem-solving skills
- Experience with PyTorch and/or TensorFlow
- Experience with areas such as computer vision, deep learning, Transformers, LLMs or generative AI
- Experience with libraries such as NumPy, Hugging Face and/or Ultralytics would be highly relevant
- Experience analysing experimental results and applying statistical or comparative analysis
- Strong written and verbal communication skills, including the ability to document and present research findings
- Experience contributing to research papers or academic publications would be advantageous

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📌 AI Researcher (Melbourne)
🏢 Appsytec
📍 Melbourne