Deep Learning Research Scientist

Victoria, UK
08 Oct 2019
06 Nov 2019
Contract Type
Full Time
Who are we?

SLAMcore is a London-based startup founded by visual SLAM algorithm pioneers and specialists. With generous funding from top venture companies, we are developing breakthrough Spatial AI solutions for next generation robots and other smart devices by harnessing computer vision, sensor fusion and machine learning. Our aim is to greatly reduce the time and cost for companies to deploy advanced robotic solutions whilst delivering performance they could never achieve on their own.

Our vision for this role:

As a deep learning research scientist you will be working at the heart of our research team alongside world experts in SLAM, computer vision and machine learning. You will be innovating and designing new efficient algorithms for resource constrained platforms while pushing forward the state-of-the-art for applied Spatial AI. There will be opportunities to publish your research and attend scientific conferences to represent SLAMcore and further develop our strong links with the academic community.

How you will help:
  • You will design and develop state of the art deep learning algorithms for the purpose of achieving true Spatial AI solution.
  • Be a core member of our research team alongside machine learning experts and SLAM pioneers.
  • Work with our engineering team to deploy your innovations into solutions for customers across multiple applications in robotics and smart devices.

Essential capabilities:
  • A relevant Ph.D. in machine learning or computer vision
  • Strong background in machine learning including deep learning with relevant publications in CVPR, ECCV, ICCV, BMVC, RSS, ICRA, IROS
  • Solid understanding of optimisation, numerical linear algebra, probabilistic estimation
  • Ability to work independently, without direct supervision
  • 2+ years of related industrial/academic experience
  • Proficiency in Python programming
  • Familiar with C++, version control, Git, Jira and unit testing

Bonus points if you have:
  • Experience with deep learning applications involving object detection, semantic segmentation, instance segmentation
  • First hand experience designing efficient deep learning architectures or training strategies for real-time resource constrained platforms
  • Working knowledge of SLAM and application of deep learning for SLAM/SfM

Key benefits:
  • Meaningful equity
  • Relocation costs covered
  • 25 days a year holiday
  • Pension scheme
  • Flexible working

Additional perks:
  • The opportunity to play an integral role in building a company in a high growth industry
  • Open and diverse multinational team
  • Regular team activities and lunches
  • We are open to applications from anywhere in the world and are able to provide sponsorship for various types of visas

If you are interested in this role, please click apply now!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.

Similar jobs

Similar jobs