Xihelm is developing state-of-the-art robotics for handling fruit and vegetables. You’ll be helping to make that a reality - building fast & high quality vision systems to efficiently work out how to handle fruit (and avoid obstacles) during harvest. We've got key challenges to solve, and you’ll be working closely with the CEO, but pushing your state of the art forward by yourself. It's a great opportunity to apply your skills further into robotics, machine learning and computer vision as a highly self-motivated contributor.
Independently leading the technology on a mulit-million pound research grant (in collaboration with University of Lincoln), you’ll be figuring out how to see & understand a difficult robotics extraction problem with delicate produce (e.g. berries). You’ll be self-sufficient in developing and evaluating viable models of what can be moved by the robot, and what shouldn’t be touched - first in the lab, then in the field. You’ll be pulling together your expertise to 1-second inference 3D classifiers, segmentation and 3D reconstruction (using e.g. RGBd) and applying all that to 6DOF robot arms.
You will be surveying literature and implementing state-of-the-art techniques to solve our challenging problems. You will test your developed technology on different testing scenarios with different sensing devices.
Note: you will most likely be asked to do an at-home assessment task of around 3hrs length - we hope you will find this both stimulating and a chance to show your talents best.
Location: Xihelm offices in London, UK.
Visa: UK sponsorship is possible
Travel requirements: occasional travel (6-8 times per year) including overnight to partner sites in England; potential to visit relevant conferences
Note: no agencies, thanks. Xihelm is not responsible for any fees/invoices without its express written permission, so please don't send profiles, CVs or Resumes.
Whilst we aren’t locked to a particular stack, you should meet most of the following requirements:
Education: high quality degree or equivalent experience in Robotics, Computer Science, Electrical Engineering or related mathematical-engineering field (PhD desirable)
Salary levels: £84,570 - £161,200 per annum, plus share options etc.