Dyson Hiring for Associate Principal Machine Learning Engineer Job at Malmesbury, England Full Time

About Us

Dyson is a global technology enterprise. We solve the problems others choose to ignore, with surprising new inventions that defy convention and simply work better. We’re driven by progress and thrive on the challenge of relentless improvement. We’re growing fast and our ambition is huge – more categories, more locations and more people.

Within Dyson research, we are pioneering groundbreaking technology, enabling products that solve the problems that others ignore. The Heater technology research team is a mixed skill group of material scientists, mechanical engineers and thermodynamics experts responsible for early stage development of the next generation heating and cooling technologies for future Dyson products.

We split our time between applied product support and fundamental research; expanding our own modelling, build and test capabilities and investigating new technologies to solve real world problems. The team works alongside leading technical specialist in a highly creative working environment. We frequently run projects with third parties around the world including universities, manufactures and research houses and are also called in as subject matter experts to consult on projects at later stages of development with engineering teams in Singapore and Malaysia.

About the role

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 with an in-depth understanding of user behaviours. We utilise anonymised data from our connected devices and build prototype rigs to conduct rigorous qualitative and quantitative experiments and trials, inventing novel solutions to ‘impossible’ problems.

You will play a pivotal role in a rapidly growing team, developing intelligent features for our existing product categories, or enabling core functionality in products that most can’t even imagine.

The successful candidate will be responsible for:

• Lead and inspire scientists, engineers, and designers to design, develop and conduct detailed investigations for embedding intelligent functionalities on Dyson’s future products.

• Operate at the cutting edge of machine learning, developing novel techniques and furthering the state-of-the-art.

• Act as a subject matter expert for applying machine learning techniques onto various challenges presented across all Dyson product categories.

• Perform investigatory analysis of large multivariate datasets, suggesting improvements for data collection and experimentation strategy to optimise system performance.

• Apply statistical methods to establish confidence in findings.

• Identify potential machine learning research opportunities based on scientific insights.

• Design and develop clean, documented, and easy to maintain code. Integrate software builds with the corporate CI environment where appropriate.

• Progress projects using the Dyson’s research milestone process; conduct and analyse investigations, document, and report findings, communicate to key stakeholders, and handover to downstream teams.

• Work independently to manage tasks with competing priorities.

• Generate novel intellectual property.

About you

• Master’s or doctorate degrees in Engineering, Computer Science, or Applied Mathematics with demonstrable significant related experience.

• Proven experience of develop and implement machine learning algorithms across complex platforms including hardware, software applications and cloud-based components to solve real-world problems.

• In depth knowledge of feature engineering, unsupervised/supervised machine learning algorithms, deep learning, time series analysis and statistical modelling.

• Hands on coding experience of Machine Learning and deep learning frameworks (Keras/PyTorch/ Tensorflow) and commonly used libraries (scikit-learn).

• Ability to code using both low-level and high-level languages as appropriate, including Matlab, Python, C, C++ etc.

• Superb research and problem-solving abilities; enthusiasm to learn and share latest methods/techniques within the team.

• Great communication and collaboration skills.

• Passionate about the technical and personal development of junior team members.

Benefits

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