Computer Vision and Machine Learning Researcher
fynd· Engineering
About this role
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!
Frequently Asked Questions
Is the salary disclosed for the Computer Vision and Machine Learning Researcher position at fynd?
The salary for this Computer Vision and Machine Learning Researcher role at fynd is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Computer Vision and Machine Learning Researcher position at fynd located?
This Computer Vision and Machine Learning Researcher role at fynd is based in Mumbai, MH, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Computer Vision and Machine Learning Researcher role at fynd full-time or part-time?
This is listed as a FULL TIME position. It is posted as a Computer Vision and Machine Learning Researcher role in the Engineering department at fynd.
Which team or department does the Computer Vision and Machine Learning Researcher at fynd belong to?
This Computer Vision and Machine Learning Researcher position is part of the Engineering department at fynd. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Computer Vision and Machine Learning Researcher position at fynd?
Click the "Apply Now" button on this page. You will be redirected to fynd's official application portal hosted on keka where you can submit your application directly.
When was the Computer Vision and Machine Learning Researcher job at fynd posted?
This Computer Vision and Machine Learning Researcher position at fynd was posted on Oct 8, 2026. Apply as soon as possible — early applications are often reviewed first.
Computer Vision and Machine Learning Researcher
fynd
You'll be redirected to fynd's official application page on keka.