- Graduates, Interns and Apprentices
- Singapore - St James Power Station Headquarters
The Machine Learning team is responsible for delivering tangibly intelligent devices across all current, and future, product categories at Dyson.
Working alongside researchers, engineers, and designers, we blend cutting-edge machine learning and artificial intelligence techniques inventing novel solutions to 'impossible' problems.
You will play a pivotal role in a rapidly growing team, developing intelligent features to enable core functionality in products that most can’t even imagine.
About the role
As a graduate, you will be an integral part of the project and some of your tasks could include:
Work alongside scientists, designers and research engineers to provide analytic insight into Dyson’s research challenges and support to operational issues
Perform investigatory analysis of large multivariate datasets, identifying opportunities to apply machine learning techniques to extract meaning and derive value
Characterise classifier or algorithm performance against defined project objectives; proposed implementation environment; and associated computational constraints
Collaborate with research engineers to recommend improvements to data collection and experimental strategy to optimise system performance
Application of statistical methods to establish confidence in findings
Design and develop clean, documented, and easy to maintain code
Produce reports and presentations summarising progress against team and project goals, effectively and engagingly presenting complex technical information and analysis to senior management
Generation of novel intellectual property
Our software and hardware need to combine to make our machines intelligent, so you’ll be interacting with teams from product developers to electronics engineers to ensure our solutions are functional, secure and easy to use. On top of the technical know-how and passion to learn more, you’ll need to be inquisitive by nature, enthusiastic about technology, creative and tenacious in your approach to problem solving.
Working at the forefront of technology is tough so standards and expectations are high. You’ll be contributing to live projects from the start so you’ll need to be curious, hungry to learn and ready to get stuck in.
You’ll also need to be:
On track for 2nd upper class honours or above and be studying towards a relevant bachelors degree in Engineering, Computer Science, or Applied Mathematics or related discipline
Graduating in Q3 2022
Familiar with machine learning algorithm development and implementation in complex systems including hardware, software application and cloud-based components
Experienced in feature extraction, time series analysis, signal processing, and statistical modelling
Able to program in both high and low-level languages as appropriate, for example Java, Python, C, C++ or Matlab
Experienced in applying machine learning and data analysis techniques against real-world problems would be desirable
Enthusiastic to learn and share new methods and techniques
Able to demonstrate practical application of your skills, for example via personal projects or society memberships/events
Have a creative approach to problem solving to ensure our machines are better
Able to thrive in Dyson’s fast-paced environment
Please upload your (1) detailed resume and (2) latest academic transcript (all semesters inclusive) in a single file together with your online application.
Please note that you should only indicate interest to one graduate position as multiple submissions will delay the selection process. We will consider you for other graduate roles should you have the relevant skillset or experience.
Professional growth, leadership development and new opportunities abound, driven by regular reviews and dynamic workshops. And with a vibrant culture, the latest devices and a relaxed dress code reflecting our engineering spirit, it’s an exciting team environment geared to fuelling and realising ambition.
Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.
We are following the government guidelines regarding COVID19. At this time all interviews will be conducted via video or telephone. We’re taking these precautionary measures to protect both our employee and candidate wellbeing. Our Talent Acquisition team will work with you and provide further information as appropriate.