Position: Computer Vision (Deep Learning) Engineer
Category: Other
English level: upper
Years of experience: 2


- Face recognition/verification.
- Image classification.
- Image segmentation.
- 3D face reconstruction (3D morphable models and deep neural analogs) for head rotation.
- Custom datasets preparation by deep-learning driven approaches: emotions, pose variability.
- Video based data collection/preparation.

Model Architectures: EfficientNet, ArcFace, SphereFace, FaceShifter, CycleGAN, MobileNet, VGG, ResNet, ResNext, Inception, Xception, DenseNet, SENet, U-Net etc;

Have experience of working in startup and R&D environment. 
Kaggle competitions expert.
Willing to work in an R&D team on challenging tasks, surrounded by passionate people.