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

In office 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
- Strong 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

#J-18808-Ljbffr

📌 AI Researcher (Melbourne)
🏢 Appsytec
📍 Melbourne