Microsoft Senior Machine Learning Engineer 

Taiwan, Taoyuan City 

360646908

As aon the Viva Engage Search team, your experience in Search, Ranking, and Retrieval systems will help shape the future of intelligent search experiences in the Copilot and Agentic AI space. You will play a key role in designing, developing, and deploying cutting-edge machine learning models that power search experiences that connect individuals with each other and knowledge across organizations. Our focus lies in discovery, recommendations, and relevance across Viva Engage, leveraging data from our platform and across Office 365.

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 2+ years of experience working on Machine Learning models specifically with Natural language-based models.

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Experience on working with Elastic Search/Azure AI Search.
• 2+ years of experience building personalized search solutions across a product/platform.
• Practical experience working with Large Language Models (LLMs) and leveraging tools like PyTorch and TensorFlow.
• System development skills, with a long-range system view that leverages development ranging from rapid research prototypes to carefully architected complex systems.

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

• Own the full ML lifecycle - Design, build, deploy, and monitor end-to-end pipelines that power Copilot and Agentic Search experiences.
• Build production-ready AI agents that automate workflows and surface smart, context-aware recommendations to boost user productivity.
• Work with massive, complex datasets by applying advanced statistical and machine-learning methods to solve ambiguous, high-impact problems.
• Apply Large Language Models (LLMs) to deliver deep semantic understanding and natural-language interactions that connect employees to knowledge across Microsoft 365.
• Leverage generative-AI techniques for data augmentation, relevance tuning, and highly personalized discovery experiences.
• Validate product intuition with experimentation – translate insights into roadmap influence and data-driven decisions that move key metrics.
• Communicate with clarity – distill intricate technical work for diverse audiences across engineering, product, and executive leadership.