4 days ago
Seoul, Korea, SouthMid Level
Responsibilities
- Research and develop algorithms using user behavior and multimodal contextual signals to enable intelligent, personalized, context-aware assistance.
- Research and develop efficient small language and multimodal models for low-latency on-device deployment.
- Design and implement heterogeneous architectures for on-device agentic AI, including intelligent memory, continual learning, and personalization.
- Present research findings and proprietary technologies at world-class AI conferences.
Requirements
- Ph.D. in Computer Science, Artificial Intelligence, or a related field with 3+ years of relevant experience, or equivalent practical experience.
- Experience with modern machine learning frameworks, including PyTorch.
- Expertise in Natural Language Processing and Large Vision Models, including information extraction, prompt engineering, and fine-tuning strategies.
- Experience with on-device AI and lightweight model development.
- Strong problem-solving, analytical, communication, and teamwork skills.
- Preferred qualifications include high-impact publications at conferences such as CVPR, ICCV, ECCV, ICLR, NeurIPS, ICML, ACL, or EMNLP, or a proven industrial R&D record.
- Preferred qualifications include deep LLM and LVM architectural knowledge beyond basic prompting and inference, including structural optimization, custom layer design, or fundamental algorithmic improvements.
- Preferred experience includes reinforcement learning, memory networks, reasoning, mobile or embedded software development, and large-scale data processing.
- Minimum education and experience alternatives include a bachelor's degree with 2+ years, a master's degree with 1+ year, or a Ph.D. in a relevant field.
Tech Stack
Categories
AI ResearchML Engineering
About Qualcomm
Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.