Computer Vision Science

Globalbit in collaboration with a start-up company dealing in the field of neuroscience and pharmaceuticals which is growing a lot with established projects for the coming years is looking to expand the data science team.

We are looking for a senior data Science specializing in algorithms in the field of computer vision and image processing.

This is a role well suited to an ambitious professional, looking for the next step in their career. As a Senior Computer Vision Scientist, you will be responsible for:

• Complex, real-world problems with immediate impact on patient’s lives. You will solve computer vision challenges that can be applied to large scale microscopy imaging.
• You will develop robust object recognition and localization approaches on cloud services to accurately translate biological phenomena into computational readouts.
• You will conduct research, design and production level implementation of disruptive algorithms for semantic segmentation, object detection and classification of 3-dimensional neuron images using machine learning and deep learning methods.
• You will be involved in fast prototyping, feasibility studies, specification, and integration of computer vision algorithms into our product components.
• Generating reliable, correct training data with great attention to detail. Identifying and debugging issues in training deep learning models such as overfitting, leakage and label noise.
• You will advance the state-of-the-art in the field, including generating patents and publications in top journals and conferences.
  
  

• Master's degree in engineering required (software, computers, mathematics, physics, etc.)
• 5+ years of experience in the development and production of computer vision algorithms and deep learning algorithms.
• High proficiency in scientific programming languages such as Python. Especially with deep learning libraries.
• Knowledgeable with neural networks model architecture, distributed computing, cloud native services and Agile software development practices.