Computer Vision and Machine Learning Researcher

Conduct original research in computer vision and machine learning focusing on areas like image restoration, enhancement, generative models, and 3D vision.

Develop and optimize neural network models that are accurate and lightweight for practical deployment in product applications.

Publish research findings in top conferences and ensure successful transition of research solutions into Fynd products.

Bachelor’s, Master’s, or PhD degree in Computer Science, Applied Mathematics, or a related quantitative technical field.

Experience with computer vision domains such as Image Restoration, Enhancement, Unsupervised Learning, Compression, Generative Models, 3D vision, Object Detection, or Tracking.

Proven publication record in top-tier conferences related to computer vision or machine learning.

Programming proficiency in at least one of: C, C++, Python; experience with deep learning frameworks like TensorFlow, Keras, or PyTorch.

Strong theoretical foundation in mathematical concepts like probabilistic models, linear algebra, and probability as applied to computer vision and machine learning.

Comfortable working on both foundational research and translating research into deployable technology products.

Experienced in leveraging state-of-the-art computer vision techniques and creatively applying them to complex, real-world business problems.