Deep Learning Research Scientist

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. Check out our recent video.

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.

The capabilities we are looking for:

  • 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
  • Learning budget

Additional perks:

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

Learn more about our culture, mission and values at

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.

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123 Buckingham Palace Rd
SW1W 9SR London Directions

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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