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Senior Deep Learning Engineer in London

Xihelm

Salary
48,000 - €81,000
Workplace
Onsite
Hours
Full-Time
Internship
No
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Job Description

Interested in applying your cutting edge computer vision research to real-world applications? Want to work in a startup, get paid properly, and have meaningful equity?

Xihelm is a venture-backed, applied deep computer vision startup working in smart cities and security, and is an Entrepreneur First graduate. We have real enterprise and government customers, and are working on some cool recognition tasks that could save billions, and hopefully even save lives. Good luck trying to find much out about us on Google though :)

There’s a good chance to help define our culture as employee #3. So far, we enjoy our “Wednesday night is pub night”, free lunches when the Spanish CTO is late, and the CEO’s impressive trigger finger at Laser Quest. What would you like to do?

We’re looking for impressive people. Think you can implement Faster R-CNN on a Commodore 64 in the time most people eat their lunch? Come talk to us.

Responsibilities


* Identify the biggest likely gaps in our image current recognition stacks and plans.
* Define the algorithmic approach for solving specific enterprise optimisation tasks, working with our customers and stakeholders, and help define our technical strategy.
* Implement machine learning and computer vision models that work and scale up.


Minimum qualifications:


* MSc or PhD degree in Computer Science or Electrical Engineering or undeniably equivalent practical experience.
* 4 years of experience in software engineering (Python or C++) including implementation of computer vision object recognition using deep neural networks.
* Passion to stay at the “practical cutting edge”.

Preferred qualifications:


* Experience in a research setting (e.g. national labs or postdoc).
* Experience with deep learning frameworks (preferably Tensorflow/Torch).
* A publication history, Kaggle record or active Github profile you’re proud of.
* Understanding of other cutting edge research e.g. reinforcement learning.

Please note:


* At the moment we aren’t able to sponsor visas or support remote work unfortunately. You’ll need to be an EU citizen or authorised to work in the UK, and be willing to work from our funky office in London.
* Sorry, no agencies or consultants, thanks.
* Otherwise, please do reach out!






 

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