Develop and deploy computer vision models for autonomous robotics in real-world production environments. Build perception systems, handle challenging datasets (multi-spectral / noisy), and integrate models into edge hardware operating 24/7. Requires strong CV/DL experience (PyTorch, TensorFlow, OpenCV) with hands-on production and edge deployment, plus collaboration with robotics and engineering teams.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Computer Vision Engineer | Machine Learning Engineer | Real-World AI Systems
Location: Queensland, fully remote, Australia
We’re partnering with an engineering-led company building fully automated, real-world systems powered by robotics and computer vision - and they’re looking for a Computer Vision Engineer to join the team.
This is not theoretical AI or SaaS dashboards - you’ll be working on computer vision deployed directly onto hardware, where your models drive real-world decisions in live production environments.
Core responsibilities:
- Build and deploy computer vision models for autonomous robotics
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– Develop perception systems for inspection and real-time decision making
– Work with challenging, non-standard datasets (multi-spectral / noisy environments)
– Integrate models into edge systems operating 24/7
– Collaborate closely with robotics and engineering teams
Experience required:
-Strong experience in computer vision / deep learning (PyTorch, TensorFlow, OpenCV)
– Experience deploying models into real-world / production environments
– Exposure to robotics, edge systems, or hardware-integrated ML
– Ability to work across model development, optimisation, and deployment
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Opportunity:
Real hardware, real feedback loops
– High ownership and autonomy
– Complex, meaningful problems to solve
– Engineering-led culture with fast iteration cycles
If you’re interested in working on vision systems that operate in the real world, feel free to reach out or apply for more details.
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