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【内推】【校招】【社招】高通中国研究院–AI研究员

2025/11/17镜像同步0 回复

参照下边的介绍，欢迎在生成式AI/Agentic AI/Agent等相关领域有研究经历或工作经验的同学发送简历。校招（25/26年毕业的应届生) 和社招都可以。感兴趣的可以发简历到：ren@qti.qualcomm.com Minimum Qualifications o MS with 2+ years of relevant experience, PhD, or equivalent practical experience is preferred. Major in Computer Science, Computer Engineering, Artificial Intelligence, Electrical Engineering or related field. Key Responsibilities o Design and develop system architecture for intelligent memory, learning, and personalization in on-device AI agents. Create techniques for contextual information utilization, enabling adaptive and personalized user interactions. o Research and implement algorithms for learning from user experiences and environmental cues, transforming them into actionable insights and knowledge, developing technologies to enhance knowledge understanding and reasoning. o Optimize model performance under the agentic AI use cases, working on advanced finetuning, reinforcement learning, and RLHF techniques, like RFT, GRPO, ARPO, and/or other modern policy optimization algorithms. o Develop and optimize models for on-device deployment, including agentic RAG-based solutions, LLM fine-tuning strategies, domain adaptation, and so on. o Build and maintain agentic workflows for autonomous AI systems. Build robust evaluation frameworks for measuring and improving model performance. o Collaborate with cross-functional teams to identify opportunities and implement AI solutions. Preferred Skills o In-depth knowledge in deep learning (DL) and machine learning (ML). o Excellent programming skills in Python, with proficiency in PyTorch. o Familiarity with LLM techniques, including RAG, prompting, post-training. o Familiarity with advanced RL & RLHF techniques, like PPO, GRPO, ARPO and so on. o Mandatory experience in Natural Language Processing (NLP), particularly in information extraction, LLM prompt engineering, and LLM fine-tuning. o Research and development experience in LLM memory, knowledge representation, and reasoning systems. o Experience with on-device AI and lightweight model development. o Excellent problem-solving and analytical skills. o Effective communication and teamwork skills. o Experience using AI coding assistants such as Claude code, Codex, or Cursor is a plus.

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