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
