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Microsoft Senior Applied Scientist 
Taiwan, Taoyuan City 
119703320

17.07.2025

, OfficeAI, isa leadership role at the intersection of applied machine learning, large language models, and

By integrating deep technical

You will join a collaborative organization thaton intelligent agents, on-device AI, and next-generation, whichCopilot experiences inM365 Copilot,Word, Excel, PowerPoint, and beyond. Close partnerships with engineering,

Required Qualifications:

  • Bachelor's Degree in 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 Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate in Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
    • OR equivalent experience.
  • 2+ years of experience in coding in Python and modern ML frameworks such asPyTorch(or equivalent).
  • 1+ year of experience training and/or fine-tuning large language, vision-language, or diffusion models (e.g., GPT, DeepSeek-R1, Stable Diffusion, Phi-V, Qwen, Llama)
    • OR Prompt Engineering

Preferred Qualifications:

  • Advanced degree (Masteror PhD) in Computer Science, Math, Statistics, or related areas with industry experience or research publication in LLMs, ML, or NLP.
  • Hands-on experience orchestrating LLM-based agent pipelines-prompt design, toolinvocation, and context grounding-for productivity scenarios, alongside other advanced ML techniques.
  • Proven expertise and background in designing and implementing AI models that serve millions of users in scaled production environments.
  • Demonstrated success moving applied research into shipped product features, with clear ownership of the end-to-end ML lifecycle—data collection, cleaning, modeling, evaluation, and continuous improvement.
  • Experience in designing, evaluating, and iterating on multimodal or agent-based workflows for real-world productivity applications.
  • Deep understanding of transformer-based architectures and hands-on experience with model optimization techniques (quantization, pruning, distillation, adapter tuning).
  • Strong leadership, mentoring, and cross-functional influence skills; ability to attract and develop talent while fostering a collaborative team environment.
  • Customer-obsessed mentality and passion for translating research breakthroughs into meaningful product impact.

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 July 21st, 2025.


Responsibilities
  • Responsible for end-to-end development, deployment, and continuous improvement of advanced multimodal ML/LLM systems—including dataset curation, labeling strategy, model architecture, scalable training, and rigorous evaluation (offline and online).
  • Research, design, and implement on-device and cloud-based AI models,optimizing forlow latency, privacy, and resilience in both connected and constrained environments.
  • Drive complex orchestration of Copilot workflows and agent pipelines, blending prompt engineering, tool invocation, and context grounding for productivity scenarios.
  • Collaborate with engineering and product teams to define success metrics,designand execute experiments (e.g., A/B testing),monitoruser signals, and iterate on deployed features.
  • Advance the state-of-the-art through applied research, prototyping new concepts inink, voice, vision, and LLM-based agents, and translating breakthroughs into scalable, user-centric product features.
  • Apply Microsoft’s Security and Responsible AI principles throughout the ML lifecycle, ensuring robust data governance, fairness, transparency, and ethical AI practices.
  • Mentor and influence peers, set technical direction, foster a collaborative and inclusive culture, and contribute to team talent development.
  • Stay current with research and industry trends,identifyingopportunities to integrate emerging technologies and methods into the Office AI ecosystem.