Graduate Machine Learning Engineer
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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.
WHAT YOU’LL BRING
We are looking for a high-potential graduate who combines strong academic foundations with a “builder” mindset. You should be someone who takes ownership of a problem rather than waiting for instructions.
Essential Qualifications & Skills:
- Education: Recently completed (or nearing completion) a degree in CS, Software Engineering, Mechatronics, Data Science, or related fields.
- Strong Academics: A solid foundation in Linear Algebra, Probability, and Statistics (High distinction/80+ average in these subjects is a key criterion).
- Technical Stack: Strong programming skills in Python and C++.
- ML & Frameworks: Hands-on experience with PyTorch (preferred) or TensorFlow, with specific exposure to Computer Vision.
- Ownership: Demonstrated initiative to solve problems independently (e.g., through capstone projects, internships, or open-source work).
Nice to Have:
- Experience with NVIDIA Jetson or embedded systems.
- Knowledge of MLOps (Docker, CI/CD, ONNX Runtime).
- Familiarity with C# or safety-critical systems.
YOUR WORKING ENVIRONMENT
This is a full-time, hybrid role, based in our Ingleburn office, NSW. At Acusensus, we trust our team to work in ways that maximise productivity, collaboration, and well-being, while staying connected to our mission of making roads safer.
WHY YOU’LL LOVE WORKING WITH US
Impact: Your code will directly contribute to keeping road workers safe.
Mentorship: Work directly alongside and learn from experienced Machine Learning Engineers.
Greenfield Innovation: This is a rare chance to work on a product from the early stages, influencing its architecture and design.
Flexibility: We are based in Ingleburn with hybrid working options to support your work-life balance.
A Culture of Delivery: We value collaboration, integrity, and care. We’re a team that plans, forecasts, and delivers
READY TO MAKE A DIFFERENCE? APPLY NOW.
Visit www.acusensus.com.au/careers or submit your application directly through this advertisement. If you have any questions or would like to discuss the role in greater detail, please email careers@acusensus.com.
Application Process
In your application, please include the following items:
1. Initial Application
Upload your most recent Resume
Upload your Academic Transcript of completed units. Please upload this to the ‘Certifications and Licenses’ section
Answers to a short list of questions (You will be asked these once you create your account and apply)
2. Interviews:
Initial pre-screening call.
Stage 1 Interview – technical. W/C 12 Jan 2026
Stage 2 Interview.
3. Assessment & Offer:
Pre-employment screening, including Police and Driver History checks
Offer Letter
Acusensus is building a diverse and inclusive workplace where everyone feels valued, respected, and empowered to drive positive change. We’re committed to fostering an environment where creativity and authenticity are celebrated. No matter your background, if you’re passionate about making a difference, we encourage you to apply.