This role is responsible for researching and developing innovative on-device agentic AI systems that deliver personalized services. Agentic AI naturally follows a heterogeneous architecture, designed to handle tasks of varying complexity across different modalities. You will contribute to building on-device small language and multimodal models tailored for agentic AI, enabling intelligent assistance with a deep understanding of user context.

• Research and develop algorithms that understand user behaviors and multimodal contextual signals to enable intelligent, personalized, and context-aware assistance. • Research and develop advanced multimodal and small language models tailored for on-device deployment, ensuring efficiency, low latency, and contextual relevance. • Design and implement heterogeneous system architectures for on-device agentic AI, supporting intelligent memory, continual learning, and personalization.

• Ph.D. in Computer Science, Artificial Intelligence, or a related field with 3+ years of relevant experience, or equivalent practical experience. • Mandatory experience with modern machine learning frameworks, including PyTorch.. • Mandatory experience with Natural Language Processing (NLP), Language Models, Multimodal Language Models, or Multimodal Retrieval. • Experience with on-device AI and lightweight model development. • Excellent problem-solving and analytical skills. • Effective communication and teamwork skills.

• A strong publication record in major conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, NAACL, and COLM. • Strong software development skills • Experience in software development for mobile or embedded environments

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