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微软Principal Applied Scientist

社招全职Software Engineering地点:北京状态:招聘

任职要求


• M.S. or Ph.D. in Computer Science, Machine Learning, or a related field, or equivalent practical experience.• 5+ years of experience in applied machine learning, with a focus on LLMs, agent systems, or reinforcement learning.• Strong hands-on experience with prompt engineering, context engineering, retrieval-augmented generation (RAG), tool use, planning agents, and long-context modeling, etc.• Familiarity with model training pipelines using PyTorch, TensorFlow, JAX, or similar frameworks, evaluation strategies, and model deployment best practices.• Solid publication record (e.g., NeurIPS, ICLR, ACL, ICML, EMNLP) is a plus, but emphasis is placed on practical contributions.• Strong coding and debugging skills, and comfort working in cross-functional, agile environments.

 

 

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工作职责


• Design and implement advanced LLM-based architectures and agentic systems for real-world product scenarios.• Translate research breakthroughs into production-ready algorithms, contributing to core capabilities such as reasoning, planning, long-term memory, code-gen based design.• Monitor and improve model performance post-deployment through data-driven iteration and error analysis.• Collaborate across teams to deliver robust, scalable models aligned with product objectives and user value.• Contribute to the organization’s scientific direction by identifying research opportunities that drive long-term differentiation.
包括英文材料
AI agent+
Prompt+
RAG+
PyTorch+
TensorFlow+
还有更多 •••
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