Responsibilities

• Design and develop novel ML algorithms (deep learning, reinforcement learning, generative models).
• Publish research in top-tier conferences (NeurIPS, ICML, CVPR, ACL) and file patents.
• Lead large-scale experimental setups, including distributed training and GPU acceleration.
• Architect and optimize model deployment pipelines for real-time inference.
• Collaborate with product teams to translate research prototypes into scalable solutions.
• Mentor junior researchers and contribute to research strategy.