Job description
About us
Mimetrik Solutions Limited is a innovative technology company specialising in Digital Dentistry. Spun out from the University of Leeds in 2020 to commercialise the ground-breaking research developed at the University of Leeds School of Dentistry, we have built an excellent team of highly-qualified clinicians, software engineers and operational support staff. Based at the state-of the-art £38m Nexus Technology Hub at the University of Leeds, we are now looking for a Computer Vision software engineer to join our expanding team.
You will be joining a highly supportive, friendly working environment with experienced colleagues on hand to support your professional development. Working on the most innovative computer vision, machine and deep learning software projects in the $10bn+ digital dental market you will be part of a fast-growing, disruptive company already delivering solutions to global partners and changing the way dentistry is delivered worldwide.
Reporting to our CTO this role will involve working on various projects, each with elements of Computer Vision, Machine and Deep Learning.
Master's level degree education in Computer Science or related subject is essential, with experience in computer vision projects desirable.
You should have experience of working in C++, with knowledge of OpenCV, Eigen, CUDA, Open 3D and Pytorch.
You should be versatile, keen to progress your skillset and be comfortable working as part of team on complex problems.
More detailed job requirements can be provided on request
Job Types: Full-time, Permanent
Salary: £44,118.00-£47,964.00 per year
Benefits:
- Company pension
- Employee stock ownership plan
- Flexitime
- Private medical insurance
- Transport links
Schedule:
- Flexitime
- Monday to Friday
Supplemental pay types:
- Bonus scheme
- Performance bonus
Ability to commute/relocate:
- Leeds, LS2 3AA: reliably commute or plan to relocate before starting work (required)
Education:
- Master's (required)
Work Location: Hybrid remote in Leeds, LS2 3AA
Application deadline: 21/04/2023