- Science and Research
- United Kingdom - Malmesbury Office
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 ground breaking 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.
About the role
The Machine Learning team, responsible for delivering tangibly intelligent products across all categories at Dyson, is looking for a Computer Vision Engineer to join the UK team. You will be working within a global, diverse, highly skilled and multi-functional machine learning team; conceiving and delivering technology right at the beginning of our product development cycle.
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 our future products that most can’t even imagine.
Work alongside researchers, engineers and designers to design, develop and deliver cutting edge machine vision capabilities on Dyson’s future products.
Act as a subject matter expert for computer vision and machine learning techniques, supporting various technical challenges presented across all Dyson product categories.
Design and develop clean, documented, and easy to maintain code. Integrate software builds with the corporate CI environment where appropriate.
Progress projects using Dyson’s research milestone process; conduct and analyse investigations, document and report findings, communicate to key stakeholders, and handover to downstream teams.
Work independently and as part of a wider team to manage tasks with competing priorities.
Generate novel intellectual property.
MSc or PhD in Computer Science, or related STEM field.
Proven experience in developing and implementing computer vision and deep learning architectures to solve real-world problems.
In-depth understanding of real time image and video analytics, object detection, classification, segmentation, tracking, activity recognition and 3D computer vision.
Highly experienced in coding with python and C/C++ and their respective computer vision ML/Deep Learning libraries.
Superb research and problem-solving abilities; enthusiasm to learn and share latest methods/techniques within the team.
Great communication and collaboration skills.
Performance related bonus
Company paid Life Insurance
Discounts on Dyson machines
Competitive pension scheme
Flexible benefits programme with a growing range of voluntary benefits, including the ability to purchase additional holidays
27 days holiday plus statutory bank holidays
Free bus travel to and from Malmesbury campus from Bristol, Chippenham and Swindon
Free on-site parking
Subsidized café providing endless free coffee and tea, and a free lunch
Private Medical insurance for all employees
Employee Assistance Program for employee and dependents
Digital GP and prescription service
At Dyson, it's about more than our machines. We recognise that our success comes from our inventive people. We believe in including everybody and supporting you on your journey with us
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.