Founded in 2016, ThirdEye uses AI to automate the world’s 245m CCTV cameras. We then put this power in real-time into the hands of all retail workers and make them see where customers are looking at and what they interact with. This helps retailers reduce theft, optimise store operations & product promotions, and much more. Thereby, we keep our clients productive and competitive in an ever evolving market.
Based in the heart of vibrant Central London, we’re a young, multi-cultural team from different professional backgrounds with a shared passion for tech and retail. Needless to say, we’re a bit geeky - but in the most adorable way! We love our daily lunch break walks to local street food markets just as much as a fusball team battle and occasional post-work activities.
You are part of a small but exponentially growing, multi-cultural team of engineers and business people. Fast paced, with ever expanding new ways of delivering cutting edge solutions to retailers across the globe.
Having just closed a very successful seed round we are now looking to further bolster up our ML Engineering team with a Machine Learning Researcher to help us build one of the world's most powerful and impressive real-time computer AI vision products on the market.
The ideal candidate will help master our real-time video classification engine whilst keeping up to date with latest industry and deep learning methods for action recognition on live video.
Focus of the Role:
Your main mission will be to breath state-of-the-art computer vision knowledge into the team whilst providing industry-leading strategical advice to help implement new computer vision products.
Making key industry recommendations to the ML and leadership team such algorithm options and current developments in computer vision
Mentoring junior and mid-level ML team members
Staying abreast with current ultramodern industry trends and computer visions advancements
Implementing computer vision algorithms
Required Skills & Experience:
Ph.D. or MSc. in a relevant field with extensive studies relating to Machine Learning and/or Computer Vision
Extensive knowledge in applied computer vision
Experience working with camera and multi-view geometry
Strong understanding of deep learning and working with machine learning algorithms
Ability to present techniques such as algorithms to both technical and (occasionally) non-technical stakeholders
Understanding of model verification
Experience in Python and Tensorflow
It'd be nice if you have:
Experience with pyTorch, Caffe and machine learning libraries like sklearn
Knowledge on 2D and/or 3D pose estimation from single view
Camera calibration knowledge
Experience or knowledge in embedding computer vision algorithms in low-power platforms (Phones, ARM chips, etc)
What's in it for you:
This role can be worked in conjunction with completing your PhD. We are able to offer part-time work to fit around studies.
● Learning budget
● Dedicated time to learn and hone new skills
● Loads of team socials including ski trips with other businesses!
● Pension contributions
● 25 days holiday per year, plus bank holidays
● Generous amount of equity
● If relocating for the role, you'll be assigned a buddy to help you with the practicalities of living in London such as housing, taxes, transport etc.