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Microsoft Applied Scientist Taiwan, Taoyuan City 208890121
17.07.2025
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Qualifications
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.
- Strong algorithmic and modeling skills, with solid problem-solving capabilities.
- Experience in NLP, RL, search, or recommendation systems is preferred.
- Familiarity with complex document understanding, RAG frameworks, and multi-agent orchestration is a strong plus.
- Excellent communication and collaboration skills, with the ability to thrive in cross-functional environments.
Responsibilities
- Develop sub-agents for search, find, and related tasks over complex enterprise private data with diverse types and heavy schema.
- Optimize core algorithms for RAG systems, including retrieval, ranking, and grounding extraction.
- Explore novel task decomposition and execution strategies within multi-agent collaboration frameworks.
- Analyze offline and online performance signals to identify optimization opportunities and improve user experience and system efficiency.
- Collaborate closely with product and platform teams to deliver robust, scalable solutions.
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