Computer Vision / Machine Learning Engineer - Real-World AI Systems (Fully Remote, Australia)

Reqiva Australia
Remote
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AI Summary

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
Real-world production deployment of computer vision models for autonomous robotics
Experience with challenging multi-spectral and noisy datasets
Edge deployment and cross-functional collaboration with robotics and engineering teams
Key Responsibilities
Build and deploy computer vision models for autonomous robotics
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
Technical Skills Required
PyTorch TensorFlow OpenCV Model Deployment Edge Computing
Benefits & Perks
Fully remote work

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

– 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


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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