Senior Computer Vision Scientist

Sr. Computer Vision Scientist

1. Location - Tel-Aviv, Israel

2. Department - Research & Development

Company’s description:

Genetika+ is transforming the practice of psychiatry through AI approaches to state-of-the-art stem cell technology, optimizing treatment and promoting effective drug development. Join our team at Genetika+ as Senior Computer Vision Scientist. 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.

This position may suit you best if you meet these requirements:

• You have at least a Master degree in an engineering or science domain such as Biomedical Engineering, Electrical Engineering, Software Engineering, Computer Science, Mathematics or Physics.
• 5+ years of experience with development and production deployment of computer vision and deep learning algorithms.
• High proficiency with scientific programming languages such as Python or C++. Specifically with deep learning libraries such as PyTorch or TensorFlow.
• Knowledgeable with neural networks model architecture, distributed computing, cloud native services and Agile software development practices.
• Outstanding collaboration, interpersonal and communication (verbal and written) skills.
• Team player who can work independently, prioritize work and adapt to an agile environment.