Work on computer vision technology with a strong emphasis on creating commercial applications with real-time, real-world focus.
Work in a fun and good-natured working environment, with flexible working hours and no unpaid overtime.
What you'll need:
Computer Science or Software Engineering degree, or equivalent.
Collaborative and Self-Motivated. We are a very friendly team, but we do expect you to be able to self-manage your workload and contribute to the design and functionality of our software.
Cross-platform development experience, including Windows, Linux and ARM environments
Nice to have:
Algorithmic/computational processing in multi-threaded, run-time critical environments.
Experience with automated build and testing tools.
An interest or experience in image processing, video processing, machine learning or artificial intelligence.
Apply Now for immediate interviews.
Wow cutting edge ML and CV applications
Progressive and chilled out team of experts
MUST be Permanent Resident or Citizen of AustraliaWhat you need:
Proficient in C/C++ - 4-5 years solid commercial experience
Adaptable - ability to apply new knowledge to problems quickly
Ability to transfer and share knowledge with team members - mentor
Self-starter and a team player - self manage tasks and deliverables
Ability to work from loose requirements.
Experience of having worked across various operating systems including Linux, Windows, Andriod etcNice to have:
Algorithms, multithreading, high compute engines
Engaging personality with an international outlook
Interviewing now so hurry apply Now!
Exercise your grey matter to the max working on deep learning computer vision applications which save lives.
Join a team of super creative and talented engineers.What you'll need:
Bachelors/PhD in Computer Science or related fields
ML and deep learning experience applied to computer vision beyond just using off the shelf libraries like openCV
Good understanding of neural nets applied to computer vision.
Experience with ML frameworks such as TensorFlow.Nice to have:
Parallel programming for neural nets
Interviews in progress - Apply Now!