Machine Learning Scientist

We are constantly growing and are now looking for developers with Machine Learning experience and competence. Are you a Machine Learning Scientist and want to work directly with internal stakeholders to develop occupant monitoring features using state-of-the-art machine learning methods (e.g. NN, CNNs, RNNs), traditional computer vision techniques, or often a combination of both?

One aspect of feature development includes collaborating with Human Factors Research Scientists and Data Acquisition Specialists to help collect relevant, truthed datasets. Also required is working closely with our Performance Analysis Team to ensure that we can measure and validate the performance of the algorithms.

You will be working in a project for one of our biggest customers in the automotive industry delivering state-of-the-art operator monitoring technology to world-leading OEMs across transport sectors of commercial road transport (Fleet), automotive, and aviation.

You will be responsible for:

- Developing proof of concept algorithms and prototypes for features that will be continually evolving in Python and C++.
- Writing clear documentation to help define features, including use cases, dataset specifications, performance targets, etc.
- Making use of state-of-the-art machine learning techniques (eg NN, CNN, RNN) utilizing large datasets to train algorithms.
- Providing guidance to embedded software engineers to enable algorithms to be used on specific embedded hardware platforms.
- Assisting with business pursuit activities such as working with potential partners, assisting customers to evaluate our technology and fielding questions from customers.
- Responding to customer-reported issues when required in order to fix problems or limitations encountered in real-world conditions.


Key qualifications for the position:

We value the breadth and depth of experience that our people bring to their work. We are seeking people with a good mix of technical competency and personal capability. Specifically, we are looking for people with:

- A Masters or PhD (awarded or currently completing) in Computer Vision, Machine Learning, or equivalent industry experience
- Strong theoretical understanding of machine learning concepts such as CNNs, RNNs, etc.
- Experience with machine learning frameworks such as TensorFlow, PyTorch or similar.
- Experience writing code in Python and/or C++, ideally in a commercial environment.
- Evidence of producing high-quality research outcomes and in disseminating effectively to academic and industry settings.


Desirable

- Understanding of traditional computer vision and/or image processing techniques.
- Experience working on research in a commercial environment.
- Experience with practical data science or statistical analysis.
- Experience explaining and discussing technical topics with varied audiences. For example, talking with customers, internal engineers, or highly technical peers.


DEK Technologies is a technical consultant company with a flat organization aiming to develop proactive and creative solutions. Our teams are self-managed and we strive to stay this way by using Agile working methods. At DEK Technologies you will find collaborative and empowered engineers with the ability to self-organize and create innovative solutions.

We can offer you an inspiring Agile environment with great possibilities where your personal development and growth are just as important as our business. At DEK Technologies we work in goal-oriented teams which are mostly placed in-house. You will work alongside your development team but there’s also a possibility for you to go work abroad. We offer all our employees creative time where you are given the opportunity to use part of your time to expand your knowledge and continue to develop through self-controlled projects.