Computer Vision and Machine Learning Researcher

Fynd is a frontier technology company. We started at the intersection of technology and retail because that is where technology was the least available. Over the years, we became one of India’s largest retail technology platforms. But retail was the entry point, not the boundary. Today, Fynd builds intelligent software that runs business operations. Not tools that help people work faster, but systems that absorb entire functions: manufacturing, marketing, logistics, commerce, quality control. We sit inside our customers’ businesses, harvest deep domain context, and build AI systems that operate autonomously. We are expanding from retail into manufacturing, generative media, physical AI, and healthcare. 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. 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 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 What's in it for you: An attractive remuneration package Opportunity to collaborate with some of the brightest and best minds in India We pride ourselves in helping you realise your potential and give you the opportunity to be innovative What do we offer? Growth At Fynd, growth is limitless. We nurture a culture that encourages innovation, embraces challenges, and supports continuous learning. As we expand into new product lines and global markets, we’re seeking talented individuals eager to grow with us. We believe in empowering our people to take ownership, lead with confidence, and shape their careers. Learning Wallet: Enrol in external courses or certifications to upskill—we’ll reimburse the costs to support your development. Culture We believe in building strong teams and lasting connections. Regular community engagement and team-building activities Biannual events to celebrate achievements, foster collaboration, and strengthen our workplace culture Wellness Your well-being is our priority. Comprehensive Mediclaim policy for you, your spouse, children, and parents Work Environment We thrive on collaboration and creativity. Our teams work from the office five days a week to encourage open communication, teamwork, and innovation. Join us to be part of a dynamic environment where your ideas make an impact!