[visionlist] Job - Senior Software Engineer Deep Learning - Oxford, UK

[Duncan McKay]

***AISTETIC - OXFORD SPINOUT – SOFTWARE ENGINEER - COMPUTER/VISION DEEP
LEARNING***

We are a University of Oxford Spinout, applying state of the art computer
vision and deep learning to deliver accurate 3D body reconstruction from
smartphones.

We’re building an innovative B2B platform, applying computer vision and
deep tech to real world problems in online clothing, fitness/weight loss
and virtual health. With world-class founders from leading universities and
companies, our team is on mission to disrupt and improve how everyone shops
for clothes, tracks their fitness and health goals.

Our innovation partners are the University of Oxford, Innovate UK, and
OxLep. We are part of the Digital Catapult's Machine Intelligence Garage,
Data Market Services Accelerator (EU Horizon 2020) and University of
Edinburgh AI Accelerator. are a University of Oxford Spinout, applying
state of the art computer vision and deep learning to the real world
problems associated with shopping for clothes online.

***WHO ARE WE LOOKING FOR?***

We’re looking for a world-class senior software engineer in deep learning.
You’ll be a hands on, creative problem solver with the technical skills and
hunger to build a novel technology solution. As one of the first employees,
you will have an opportunity to shape Aistetic. You’ll be a vital member of
our team leading the commercial coding and development of our state of the
art algorithm and model working with our 1st retail customer.  You’ll be
used to and enjoy working with large data sets, agile processes, customer
involvement, and frequent technical and consumer testing. You’ll launch,
run and monitor our development, working closely with our team of engineers
(computer vision and full stack) and a University of Oxford post-doctoral
researcher to deliver accuracy, features and performance.


***REQUIREMENTS***

- You’re fluent in Python and may have experience in C++, PyTorch,
Tensorflow, OpenCV, MATLAB
- You have experience and/or education (PhD) in Computer Vision, Deep
Learning, Machine Learning, Artificial Intelligence, Computer Graphics,
Design & Analysis of Algorithms
- You have hands on software engineering experience in a fast-moving and
innovative industry
- You are curious to learn, go straight in, enjoy getting stuff done and
discovering how things work
- You’re excited about being part of a high performing, self-organising
team on a pioneering mission
- You are collaborative and able to translate technology into robust
commercial solutions

*** BONUS SKILLS***

- Experience in semantic segmentation, parameter regression, and landmark
estimation
- Experience in 3D human reconstruction, pose estimation
- Experience with Google Cloud Platform, AWS, or a similar cloud platform
- A working knowledge of Linux build tools, with experience across the full
software development lifecycle
- An appreciation of solutions architecture and enterprise software
requirements
- Start-up experience


***BENEFITS***

- Join a fast paced start up on a mission to build the solution and future
of retail shopping
- Benefit from working closely with our founders who have previously run
large businesses, launched successful innovation and started tech companies
- Work closely with world-class engineers, researchers at the University of
Oxford’s Torr Vision Group http://www.robots.ox.ac.uk/~tvg/
- Have an immediate impact on a smart, growing, low-ego multi-cultural team
- Grow with us as we scale up whilst delivering meaningful work that really
matters
- Enjoy a competitive rewards package: salary. private health insurance,
pension and equity incentive scheme.
- Aistetic has a flexible Workplace Policy: all employees are currently
working from home. This will be reviewed and maintained in accordance with
government and public health guidance to reduce the risk to our people’s
health.

Aistetic is committed to Equal Employment Opportunity through attracting
and retaining a complementary team of employees and building an inclusive
environment for all.

Please email philip.torr at eng.ox.ac.uk with your cv telling us why you would
like to join us.
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