Responsibilities, including but not limited to:

• Work on algorithmic solutions


• Contribute to developing and prototyping architectures and models for image-to-image translation based (but not limited to) on deep learning convolutional neural networks (CNN) 


• Work on rich, high-quality training data set creation, augmenting and annotation


• Work on tooling for creating, augmenting, and managing data sets for NN training


• Work on solution performance optimization


• Collaborate with the software engineering team on building end-to-end solution

• 2+ CNN and deep learning solutions development 


• Broad understanding of ML/CV approaches and practices


• Experience with deep learning frameworks (Tensorflow, Pytorch, etc.)


• Solid experience with data sets creation, management and augmenting; understanding problems associated with data for models’ training


• Strong Python programming skills


• Knowledge of basic OOP, computer science algorithms and data structures


• BS or MS degree in Computer Science, Math or Physics

• Fluent English, written and verbal


• Good communication skills


• Team player


• Ability to work independently and proactively on a task


• Ideally, experience with ML/CV solutions for image-to-image translation, humans pose detection, 3D reconstruction or computer vision applications


• Some knowledge of C/C++ or C#


• Experience with Linux, GIT, Docker


• PhD in CS, Math, Physics