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Deep Learning (Computer Vision) Lead in London

Xihelm

Salary
75,000 - €140,000
Workplace
Onsite
Hours
Full-Time
Internship
false
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Job Description

Interested in applying your cutting edge deep learning (computer vision) research to real-world applications? Want to work in a startup, get paid properly, and have meaningful equity? Lead a small, multi-PhD team?

Xihelm is a venture capital backed, applied deep computer vision startup developing the first viable automated handwork robot for glasshouse vegetables. Our co-founders worked at Google and studied at IIT and Stanford. We have real enterprise and government customers, and are working on some cool recognition tasks that could save billions, and hopefully even save lives.

As employee #11, this is an exceptional chance to join at the start and help define our culture. So far, we enjoy our team lunches, and the CEO’s lightning trigger finger at Laser Quest. What would you like to do?

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

Responsibilities
- Lead and grow a diverse, highly skilled research team - provide coaching, feedback and guidance
- Champion scientific research, pushing forward technology development
- Be persistent in solving weeks/months long research problems
- Implement scalable, end-to-end deep learning computer vision models based on academic research, existing code, or from scratch (if needed) - in Python
- Evaluate architecture in terms of performance, power consumption, area, complexity and flexibility against emerging Deep Neural Network algorithms
- Actively participate in engineering our research-driven AI software to commercialisation
- Be a motivational, positive, energetic team-leader

Qualifications
- BSc. degree in Computer Science, Electrical Engineering, Physics, Mathematics or undeniably equivalent practical experience

Skills/attributes
- Proven ability to grow diverse, highly skilled research teams
- Strong motivational skills, creative technical thinking and clear communication
- Experience with deep learning frameworks (preferably Tensorflow/Keras)
- Able to implement, train and validate common network architectures with a focus on object detection/segmentation in 3D (ScanNet, Pointnet, Pointnet++, PointCNN)
- Strong mathematical background with emphasis on Linear Algebra
- Excellent commercially proven python programming skills
- Passion to stay at the “practical cutting edge”.
- A publication history, Kaggle record or active Github profile you’re proud to share
- Interest in real-time and near-real-time physics environments (e.g. games or robotics)

Please note
You’ll need to be willing to work from our funky office in London, UK.

Sorry, no agencies or consultants, thanks - please do not forward resumes or CVs - Xihelm is not responsible for any fees related to unsolicited resumes or CVs.

Location: London
Posting date: 12.March.18
End date: 12.April.18
Salary range: £60,000 - £120,000


 

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