- SGD Competitive Remuneration Package
- Robotics and Machine Learning, Research Engineering
- Singapore - Singapore
Dyson is a global technology company. We examine what currently exists and question it. We take things apart and look at them from new angles. We reinvent things that should simply work better. The Machine Learning team works across all product categories at Dyson, alongside leading technical specialists and highly motivated creative people to develop products which challenge convention. We are expanding our research capability in Singapore and are currently looking for specialists in machine learning and artificial intelligence specialists to join our team, at all levels.
Establish the Machine Learning team in Singapore, including recruitment and performance management of all staff.
Lead and inspire scientists, designers and research engineers to provide analytic insight into Dyson’s research challenges and support to operational issues.
Act as a subject matter expert in the application of machine learning techniques to the various challenges presented by Dyson’s ambitions to make all of our machines tangibly intelligent.
Stakeholder engagement and collaboration across multi-disciplinary Engineering teams to deliver a programme of applied research projects, embedding within those teams when required.
Deriving functional specifications and work packages from high-level project objectives.
Produce reports and presentations summarising progress against team and project goals, effectively and engagingly presenting complex technical information and analysis to senior and Executive level management.
Collaborate with academic and industrial partnerships to leverage externally available expertise, managing the relationship where appropriate.
Doctoral or degree in Engineering, Computer Science, or Applied Mathematics; or Masters’ degree with significant experience.
Expert knowledge of machine learning algorithm development and implementation in complex systems including hardware, software application and cloud-based components.
Feature extraction, time series analysis, signal processing, and statistical modelling.
Demonstrable machine learning or data science experience with a proven track record of leading cross-functional teams, ideally working with Agile development methodologies.
Enthusiasm to learn and share new methods and techniques within several areas of technical expertise.
Passionate about the technical and personal development of direct and indirect reports.