Machine Learning Researcher

Conduct cutting-edge research in efficient generative AI: LLMs and Multi-Modal Foundation Models, LLM Reasoning, Reinforcement Learning, Agentic AI and others. Lead efforts in transitioning research into production-ready solutions, enabling real-world applications and commercial impact. Develop creative solutions with consideration of practical challenges on devices Implementation and evaluation of possible solutions in both simulation and on-device environments Publish in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, EMNLP). Proven research excellence demonstrated by publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, EMNLP). Deep expertise in Generative AI, Multi-Modal Foundation models, Vision Language Models, Reasoning, Reinforcement Learning, and Agentic AI. Hands-on experience with model development pipelines, including training, fine-tuning, evaluation, and optimization. PhD in Computer Science, Electrical Engineering, or related fields or MS with 4+ years of AI research, or related work experience Research Experience in developing vision language models for understanding and generation. Understanding of efficient architectures suitable for on-edge deployment, experience in on-device AI deployment on mobile or edge devices Familiar with model optimization techniques such as pruning, quantization and distillation. Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field. 6+ months of experience developing and/or optimizing machine learning models, systems, platforms, or methods.