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

Reqiva Australia
Remote
This Job is No Longer Active This position is no longer accepting applications
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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