Job Description
SYPAQ is an industry leader in C4ISREW and autonomous systems integration, product development, and consulting services. Our rich history of partnering with the Australian Defence and National Security community continues to deliver a true sovereign industrial capability through advanced engineering and technology services and solutions.
Our team of experienced technical staff are subject matter experts in the development and delivery of autonomous systems and complex technical projects. Due to rapid expansion within the business, SYPAQ requires a Machine Learning (ML) Developer to join our defence team based in Port Melbourne.
This position is an exciting opportunity to be involved in a leading machine-learning research project. This project will involve the development of sophisticated machine-learning based solutions for a series of operations research problems. This is a complex problem, involving multiple systems, functioning within a niche dynamic operating environment.
We are looking for a data scientist / analyst / engineer to join our small and innovative R&D team on a fast-paced collaborative project. The project will draw on your dynamic data analytics, machine learning and modelling skills. This project is in its infancy and presents an excellent opportunity to influence and shape the form and direction of future derivative products.
Required Skills and Qualifications
* Strong numerical and mathematical skills, especially in the area of statistics.
* Proven analytics techniques with a background in either Engineering, Physics, Applied Mathematics or Computer Science.
* Experience with Python or MATLAB. Experience in rapid prototyping and/or research environments.
* A strong interest to learn and develop new capability in an emerging field.
* Experience with Reinforcement Learning algorithms.
* Experience with relevant Python data science libraries (e.g. Pytorch, Tensorflow, Scipy, scikit-learn, numpy, etc) or MATLAB toolboxes (e.g. Deep learning toolbox, Statistics and Machine Learning toolbox, etc).
* An understanding across the Machine Learning and/or Operations Research domains.
* A background in Defence or Electronic Warfare.
Benefits
* Engineering, Applied Science, Computer Science degree or equivalent.
* The ability to achieve an Australian Defence Security Clearance.
* Strong interpersonal skills.
* Ability to work in a team or independently.
* 1-3 years Machine Learning experience (desirable).
Others
* Generous professional development and study options.
* Loyalty leave scheme.
* ADF reserve leave.
* Salary sacrifice and novated leasing.