Description

Do you want to write code that actually saves lives?

At Acusensus, we are building the future of road worker protection. We are looking for a Graduate Machine Learning Engineer to join a truly greenfield project, helping us design and deploy advanced technology that protects workers in high-risk environments globally.

WHO WE ARE & WHY YOU’LL LOVE WORKING WITH US

At Forsite, a division of Acusensus, we’re not just building technology; we’re building a shield. Every day, roadside and infrastructure workers put themselves at risk to keep our communities moving. Our Forsite division is on a mission to transform their safety.

We have a clear, vital goal: Every worker connected, every worker protected.

This is not a “cog in the wheel” role. Under the mentorship of senior engineers, you will help shape core architecture, build ML tooling, and deploy production-grade algorithms that power real-time hazard detection.

WHAT YOU’LL BE DOING

As a Graduate ML Engineer, you will work end-to-end across data, models, and edge deployment. You won’t just be tweaking parameters; you will be getting your hands dirty with real-world sensor data, deep learning models, and NVIDIA Jetson hardware.

Key Responsibilities:

Model Development: Design, train, and evaluate deep learning models (PyTorch) for real-time object detection, tracking, and classification.
Algorithm Design: Implement algorithms for trajectory estimation, vehicle motion analysis, and sensor fusion (Cameras, Radar, GNSS).
Data Pipeline: Support the full lifecycle—collecting, labelling, cleaning, and organising datasets.
Edge Deployment: Help build reproducible workflows to export models (e.g., ONNX) and deploy them to edge environments.
Field Validation: Participate in lab and field testing to prove your code works in the real world, not just on a server.

AI Jobs in Ingleburn Nsw

Graduate Machine Learning Engineer