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Multiple Computer Vision, Deep Learning & Reinforcement Learning Researchers

westbournepartnersai – Posted on October 9, 2017 at 10:51 am –

am working in partnership with a very exciting and highly disruptive Autonomous
Driving firm, who require experts in Computer Vision, Deep Learning and
Reinforcement Learning to assist them in developing next generation Autonomous

client is revolutionising the often inefficient and sometimes limited approach
to Autonomous Driving, as commonly spearheaded by the better known large
corporations. My client is building a unified, single model solution that will
be more scalable and more robust than the current leading avenues of research.

the utilization of cutting-edge Computer Vision, Deep Learning and
Reinforcement Learning approaches, they are working towards delivering safe and
trustworthy driving autonomy. A position with this firm represents an excellent
opportunity to work on cutting-edge research and shape the future of autonomy.
As one of the first 10 employees of a £multi-million backed start-up, you will
work alongside world-class University of Cambridge researchers who have previously
researched and published with some of the world’s foremost Researchers in Deep
Learning, Machine Learning and Computer Vision, two of whom are also early
stage investors in my client.

hire for this role will have an exceptional, demonstrable in-depth knowledge
and grasp of Deep Learning, in addition to Computer Vision and/or Reinforcement
Learning, and advanced coding skills in C++ and Python to develop and implement
algorithms. You take a highly pragmatic approach towards attacking complex and
previously unsolved research problems, using intelligence and collaborative
methods. In addition to the aforementioned hires, my client is also looking to
hire several Software Engineers and Roboticists.

This firm offers
exceptional salaries, equity portions and opportunities to contribute towards
academic publications for top-tier conferences, including CVPR, ICRA, NIPS, and
ICLR. This is an opportunity to join an early-stage firm before their
research and market value really takes off.

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