תמונת באנר של הטכניון תמונת באנר של הטכניון

Senior Computer Vision Researcher

We at Neolithics AI are developing disruptive technologies that revolutionize the entire food industry: from production to distribution.
Our state-of-the-art inspection models examine tonnes of fresh produce more accurately and faster than anything else in the industry.
Neolithics is reducing the cost of food. In addition, by reducing the food waste, we are decreasing the burden on the environment, and directly answering the UN's Sustainability Goal of reducing global food waste by 50%, and thus also leading to greater food security for the impoverished.

Are you an excellent teammate, looking to work in a real startup environment, where you can contribute, learn, and influence?
Are you excited about developing state-of-the-art high-performance ML products that affect millions of people?
Join us at Neolithics AI to help the world.

Responsibilities:

You will be responsible for developing state of the art models for image understanding: segmentation, classification, fusion of different modalities, etc.
The models will run at industrial scale in applications that serve our customers around the globe.

Minimum Qualifications:

  • M.Sc. in Computer Science from a leading university
  • 7+ years of experience in computer vision
  • 5+ years of experience with deep learning
  • 3+ years of experience with image segmentation
  • Fluent in pytorch + lightning
  • Fluent in python
  • Proven ability to drive research from an idea into production
  • Excellent teamwork skills, effectiveness both in independent and collaborative work
  • Ability to learn and use new technologies

Preferred Qualifications:

  • Ph D. in Computer Science from a leading university
  • Kaggle (grand-)master level in CV competitions
  • Experience with productization of ML models at industrial scale
  • Experience with additional CV tasks: tracking, alignment, depth estimation, etc.
  • Familiarity with model optimization tools: Triton, TensorRT, etc.

Full-time position