We want new ambitious research members to join our Machine Learning Research group. We are looking for people with a proven track record in computer vision research. In this role, we create new models, algorithms and approaches to solve challenging machine learning problems. Some of our problems areas include Image Restoration, Image Enhancement, Generative Models and 3D computer vision. You will work on various state-of-art new techniques to improve and optimize neural networks and also use computer vision approaches to solve various problems. You will be required to have in-depth knowledge of image processing and convolutional neural networks. You will tackle our challenging problems also have the freedom to try out your ideas and pursue research topics of your interest.
Please find our research page : https://research.fynd.com/
What will you do at Fynd?
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
Some specific Requirements
Atleast one prior internship in the field of computer vision or NLP
A BS, MS, PhD or equivalent experience in a quantitative field (Computer Science, Applied Mathematics or related technical field) 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
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