Deep Learning and SLAM Research Intern

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:

The goal of this internship is to work on the next generation of Spatial AI systems that combine deep learning and SLAM to overcome some of the limitations of more standard approaches. You will be exploring new deep learning methods to learn how to fuse depth and semantics into volumetric data structures that will be used for robot planning and navigation. There will be opportunities to publish your research into relevant scientific conferences and potentially fill a patent.

The length of the internship will be 4 months and the work will be carried out in our offices in central London with flexibility to work some days from home. The ideal starting date will be July 2020. 

How will you 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.

The capabilities we are looking for:

  • You are working towards a Ph.D. in machine learning, computer vision or robotics.
  • Good track record of research excellence. We expect that you have at least one strong publication in any of the following conferences: CVPR, ECCV, ICCV, BMVC, RSS, ICRA, IROS.
  • Good understanding of optimisation, numerical linear algebra, probabilistic estimation.
  • Ability to work in a team environment.
  • Proficiency in Python programming (and in particular PyTorch and/or TensorFlow).
  • Familiar with C++.

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.

Some perks:

  • Flexible working.
  • Competitive salary.
  • The opportunity to work on interesting research problems in a high growth industry.
  • If the outcome of the internship results into publishable research and work this can be used as part of your doctoral dissertation.
  • Open and diverse multinational team.
  • Regular team activities and lunches.

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.

Or, know someone who would be a perfect fit? Let them know!

123 Buckingham Palace Rd
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Remote considered

123 Buckingham Palace Rd
SW1W 9SR London Directions View page

Workplace, culture and values

What is important to us

  • Curiosity
  • Integrity
  • Positive Impact
  • A-Team
  • Balance

We want to deliver a real and positive impact on society through our work.

We are a supportive team of high achieving individuals. We value our own accountability but also take collective ownership of both our successes and failures.

We want to learn and constantly improve ourselves. Every team member has their own annual learning budget to use as they wish; whether to attend conferences or workshops, complete an online course, buy books etc. We believe personal development is just as important as professional development.

Enabling the next generation of robotic applications is hard work, but we always make sure we find time for fun and family.  We have a social event every week, ranging from lunches, dinners and drinks to team activities. Being based in central London there's no shortage of great things to do, and we have an awesome team to enjoy them with.

Our flexible working culture allows our people to put their families first.


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