Got me there...
34 karma · joined April 16, 2020
(we're working to solve this problem though in the classic VC backed way - DM for more information!)
Living Optics is a new Oxford University start-up building next-generation hyperspectral cameras. We are creating a leap forward in our capacity to easily see what is invisible to the naked eye. Using a combination of patented optical methods, machine learning, and applied mathematics, we are radically miniaturizing hyperspectral photography, bringing down costs while improving performance.
We're building a world-class team to bring our hyperspectral vision to life, and are looking for engineers who are excited for the challenge!
The roles we're hiring for are:
- Software Engineer (Hyperspectral Applications)
- Senior Software Engineer (Architecture)
- Junior DevOps Engineer
- Production Engineer
- Systems Engineer
For more information on the roles: https://livingoptics.co/careers.html
Feel free to drop me a PM about the roles or about the company!
It reminds me of a Star Trek tricorder. Imagine having a camera where you can see easily ID greenhouse gases, quantify water/fat content in food, identify plant diseases, verify drug components, identify tumours, and measure blood oxygenation. On the machine vision side of things: it could probably outperform any conventional imaging + DNN combination, and you'd probably get pixel-wise segmentation for free while you're there.
There's been a lot of academic progress going on - it shouldn't be long until hyperspectral imaging makes its way into our lives.
https://en.wikipedia.org/wiki/Nissan_Motors_v._Nissan_Comput...
Living Optics is a new Oxford University start-up building next-generation hyperspectral cameras. We are creating a leap forward in our capacity to easily see what is invisible to the naked eye. Using a combination of patented optical methods, machine learning, and advanced applied mathematics, we are radically miniaturizing hyperspectral photography, bringing down costs while improving performance.
We are building a world-class team to bring this vision to life, and we are looking for Software Engineers that are excited for the challenge. As one of the earliest members of the team, this candidate will be ready to excel, will teach and learn from others, and rewarded for their contributions.
Key responsibilities
Research and development of machine learning models that continually advance the state of the art in image reconstruction
Using machine learning to expand what is possible with hyperspectral photography including image classification and feature detection
Strong grasp of modern deep learning including generative adversarial networks (GAN)
Hands-on experience building production machine learning systems on cloud infrastructure
Comfortable diving into the latest research and transferring academic work to real-world systems
Very creative and ready to think outside the box to improve systems
Very experienced with Python or similar programming languages
Strong Computer Science background or similar technical background
Empathy and readiness to contribute to conversations about company strategy
Always learning and comfortable with ambiguity
Experience miniaturizing models for mobile applications using tools like Tensorflow Lite
Comfortable building tooling to make the team more efficient
Experience with image processing through machine learning
To apply, please send your CV to aelnaiem@livingoptics.co.