Microsoft Senior Applied Scientist 

Taiwan, Taoyuan City 

662013379

In this role, you will design and evaluate autonomous agents that deliver measurable improvements in accuracy, latency, and cost-efficiency.lead rapid experimentation cycles, develop robust evaluation frameworks, and apply advanced techniques like reinforcement learning to enable multi-step reasoning and decision-making.

in natural language processing (NLP), witha foundationin large language model (LLM) development, evaluation, and fine-tuning. They should have hands-on experience in applying advanced fine-tuning techniques—including instruction tuning, reinforcement learning from human feedback (RLHF), and tool-augmented generation—to build agents capable of multi-step reasoning and decision-making. Familiarity with prompt/context engineering, context-aware orchestration, and integrating LLMs with external tools and APIs is essential.

both offline and online evaluation methods to iterate rapidly andagent behavior. A deep understanding of the challenges and opportunities in building AI-native enterprise applications will be key to success in this role.

Qualifications

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ 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 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate 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 equivalent experience.
• 1+ year(s) experience developing and deploying live production systems, as part of a product team.

Other Requirements

and/or government security screening requirementsfor this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:

• This position will berequiredto pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• years experiencecreating publications (e.g., patents, libraries, peer-reviewed academic papers).

• Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.

• years experienceconducting research as part of a research program (in academic or industry settings).

• 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until October 19 2025.

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• Lead the design and implementationof advanced model finetuning pipelines, including Reinforcement Learning from Human Feedback (RLHF), to align AI system behavior with user intent and improve performance inrealworld

• Own complex,endtoendprojectsthat combine technical depth withcrossfunctional

• Foster alignment and trustacross partner teams through clear, actionable communication and collaborativeproblemsolving

• Develop andmaintainrobust measurement systems, experimentation frameworks, and causal inference methodologies tailored to dynamic AI systems andenterprisescale

• Mentor and supportpeers by sharing best practices, reviewing designs, and contributing to a collaborative,highperformance

• Leverage AI to