AI Machine Learning Researcher

Overview

Our client, a leading name in the education sector, is seeking an experienced AI / Machine Learning Researcher for an initial 3-month contract, with the potential for further 3-month extensions. This role focuses on building upon and enhancing existing video analytics capabilities, improving the accuracy, robustness, and efficiency of current models. The position combines applied AI research with real-world traffic engineering and safety analysis, offering the opportunity to work on impactful projects at the intersection of cutting-edge technology and transportation safety.

Responsibilities

• Investigate, benchmark, and optimise model architectures for detection, segmentation, and tracking in complex transport environments.
• Enhance multi-object tracking pipelines using advanced methods such as DeepSORT, ByteTrack, and Transformer-based approaches.
• Improve video analytics performance through evaluation of alternative models and pipeline optimisation.
• Develop post-processing logic for trajectory denoising, smoothing, and error reduction.
• Apply denoising techniques to improve low-resolution or low-bitrate footage.
• Conduct field validation of model performance across diverse environments and camera types.
• Support camera calibration workflows for accurate spatial measurements.
• Run ablation studies and model evaluations under varied environmental conditions.
• Collaborate with cloud engineering teams for scalable inference deployment using ONNX, TensorRT, Triton, or similar.
• Translate AI outputs into transport safety and engineering metrics.
• Contribute to documentation, reports, and publications.

Qualifications

Job details

Paxus values diversity and welcomes applications from Indigenous Australians, people from diverse cultural and linguistic backgrounds and people living with a disability. If you require an adjustment to the recruitment process, including the application form in an alternate format, please contact me on the above contact details.

To be considered for the role click the 'apply' button or for more information about this and other opportunities please contact Nicole Oo via email : noo@paxus.com.au

#J-18808-Ljbffr