What You’ll Do:

You will participate in cutting edge research in machine learning and computer vision

Learn and implement state of the art best practices to create accurate and lightweight models

You will have the freedom to write research papers and publish yourself in top conferences.

You will apply your knowledge to analyse problems, devise solutions and construct valid metrics with best practices.

Come up with practical and deployable solutions. Ensure successful technology transfers to Fynd products

Preferred Qualifications:

A BS, MS, PhD or equivalent experience in a quantitative field (Computer Science, Applied Mathematics or related technical field).

Experience in one or more of the following areas – Image Restoration, Image Enhancement, Unsupervised Learning, Compression, Generative Models, 3D computer vision, Object detection and tracking or related computer vision topics

Multiple publications in top conferences

Strong background and understanding of mathematical concepts relating to probabilistic models, linear algebra and probability

Knowledge of computer vision/image processing techniques and awareness for existing and trending algorithms and research of Computer Vision domain.

Programming experience in one or more of the following: C, C++, Python, and/or functional programming languages and deep learning frameworks like – – Tensorflow/Keras/PyTorch