Human-computer interaction techniques and application of deep learning to this area Diffusion, autoregressive, or other generative models. Self-supervised, contrastive learning, auto-encoders. Audio, image, or text applications - Source separation, text-to-speech, music synthesis, image segmentation, image captioning, question answering, language models, etc. Latent space exploration, navigation, control and alignment techniques Ph.D. in computer science or similar, with a focus on deep learning. Knowledge in audio, video, 3D, or text processing is desirable. Strong publication record, with publications in top domain-specific or general machine learning conferences e.g., ACM CHI, NeurIPS, ICLR, ICML, ACL, CVPR, ICASSP. Good knowledge about current machine learning literature.



Highly skilled in Python and one or more popular deep learning frameworks (TensorFlow or PyTorch). Ability to envision new technologies and turn them into innovative products, Creativity. Positive communication skills. Prototype and demonstrate multimodal, interactive and immersive user experiences. Use deep learning to create new solutions and enhance existing applications. Push the state-of-the-art and develop intellectual property. Transfer technology to product groups and draft patent applications. Advise internal leaders on recent deep learning advancements in the industry and academia to further influence research direction and business decisions.

📌 Human-Computer Interaction & AI Senior Researcher (Bengaluru)
🏢 Recognized
📍 Bengaluru