AI Research Scientist
What an exciting opportunity at a fast-growing Australian AI company – NUAI! It is invaluable to work on AI applications in the real business world, building innovative Trusted AI to solve the previously unsolvable business challenges and problems.
Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, computational statistics, data management, data science and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
The ideal candidate will be intensely interested in producing new science to understand intelligence and technology to make computers more intelligent. Term- length would be considered on a case-by-case basis.
– Research Scientist – AI Integrity Responsibilities
Apply machine learning that enables learning the semantics of data (images, video, text, audio, and other modalities)
Devise better data-driven models of human behaviour, e.g. fraud detection, face verification, security check etc.
Research and prototype techniques and algorithms for AI Integrity problem.
Collaborate with other HW and SW engineers across teams at NUAI to develop robust software, prototypes, and concepts that take our state-of-the-artwork to production for FinTech use-cases.
– Minimum Qualifications requirement:
Currently has or is in the process of obtaining a PhD degree in Computer Science or similar.
3+ years experience with computer vision – specifically detection, (e.g. of objects, hands, bodies, faces) or 3D reconstruction gained during their PhD
2+ years of experience engineering in C++ or Python, including time during their PhD
Experience with computer vision/machine learning libraries such as OpenCV, Matlab, or Torch
Coding experience in C++, Java or other similar languages
Knowledge in machine learning, computer vision, or similar
Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.
Research and software engineer experience demonstrated via an internship, work experience, coding competitions
Publications in Machine Learning, AI, computer science at conferences such as CVPR, NeurIPS, ECCV, ICCV, ICML.
Interpersonal experience: cross-group and cross-culture collaboration.
Research experience in face recognition, face attribute, face anti-spoofing, text detection, other forms of supervision (weak, semi, self), multi-modal fusion techniques, etc.
Experience in transferring technology from research in computer vision, machine perception or machine learning into a product or open-source.
Australia, US, China
Great team, empowering culture, ESOP with great growth potential.
Visit us on NUAI.ai or email Joyce@nuai.io