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Form of workSummary
About us.
At Dyson, our goal is to build a world-leading robotics team focused on developing advanced domestic robots to go into real homes and help real people. Our multidisciplinary team is already one of the largest home Robotics groups in the world and is growing fast. We offer applicants the opportunity to work on some of the field's most challenging problems alongside some of its best engineers and scientists.
We’ve been developing robot technology for over 20 years, but this is just the start. In an effort to help build the next generation of advanced domestic robots. We are looking for people to help us investigate robust solutions to diverse real-world problems in machine perception, action, and intelligence. Successful candidates will be working in a supportive environment within a team of experts that is constantly aiming to improve itself and the world of robotics.
About the role.
Robot Learning Data Engineers (Data Eng) at Dyson are engineers that have a passion for seeing state-of-the-art robot learning algorithms applied to product concepts. A Data Eng works closely with the newly established Dyson Robot Learning lab in order to collect large-scale robot data and apply it to existing algorithms for new product concepts. Data engineers spend ~70% of their time collecting data, ~10% of their time managing and curating data, and ~20% of their time training state-of-the-art algorithms with that data.
This role is perfect for people who want to work on state-of-the-art algorithms with a keen interest in product development.
Key responsibilities include:
- Collect large amounts of robot data via teleoperation.
- Analyse and report on data collected.
- Train machine learning models on the collected data
About you.
We would love you to have the following experience:
- Must be able to be on feet for several hours a day for data collection.
- Knowledge and experience of applying imitation learning, and robot vision algorithms to real robot manipulation platforms.
- Knowledge and experience with modern machine learning frameworks (PyTorch, Tensorflow, etc).
It would be advantageous to have the following skills and experience:
- Experience in applying deep learning to real world robot platforms.
- Experience in large-scale training.
- Experience with Ubuntu / Linux.
- Good Knowledge of Robotics.
- Fair Experience with ROS and Docker.
- A passion for advanced domesticated robots.
Benefits
Financial benefits:
- 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
Lifestyle benefits:
- 27 days holiday plus statutory bank holidays
- Free lunch
- Well-being & lifestyle benefits
Health benefits:
- Private Medical insurance for all employees
- Employee Assistance Program for employee and dependents
- Digital GP and prescription service
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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
