Microsoft Principal Applied AI Engineer 

Taiwan, Taoyuan City 

730884295

BIC Agent Cloud

We are seeking a highly accomplishedwith deep expertise in large language models (LLMs) - including both text and multimodal systems - reinforcement learning, agentic AI architectures, and large-scale model training and inference optimization. This is a senior individual contributor role for a thought leader who brings together cutting-edge research excellence and strong applied instincts. You will operate at the frontier of AI science and product innovation, driving the design and deployment of next-generation AI systems at scale. You will need to design and build systems that allow LLMs to reason over large amounts of data as well as leveraging lighter weight models in place for specific scenarios for specific scenarios. We are looking for an individual who has the proven capability of working with research teams and partnering with them to deliver joint solutions.  This can range from working together on building fine-tuned models to coming up with ways to build custom LLMs for specific product needs.

Required Qualifications

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ 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 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
• 2+ years’ experience with transformer-based models (e.g., GPT, Llama).
• 2+ years’ experience in coding and design, specifically in the development of AI models for scaled production services.
• 2+ years’ experience in shipping applied research to production, highlighting a track record of combining coding skills with advanced expertise in AI model development.

Other Requirements

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/Additional Qualifications

• Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 10+ years related experience (e.g., statistics, predictive analytics, research) or publication record in the areas of Large Language Models, Machine Learning, or Natural Language Processing.
• 8+ years’ experience conducting research as part of a research program (in academic or industry settings).
• 6+ years’ experience in coding and design, specifically in the development of AI models for scaled production services.
• 6+ years’ experience in shipping applied research to production, highlighting a track record of combining coding skills with advanced expertise in AI model development.
• Deep expertise in one or more of the following: supervised learning, deep learning, natural language processing, reinforcement learning, computer vision, time series forecasting, or causal inference.
• 6+ years of experience programming with C# is preferred
• Relevant experience in Applications of Foundation Models, Domain Adaptation of Foundation Models (e.g. fine-tuning LLMs/SLMs) or Vision, Audio, and Multimodal Foundation Models or agentic Systems or Prompt Tuning or Natural Language Processing or Human-AI Interaction
• 6+ years of experience demonstrating problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms.
• 6+ years of experience demonstrating leadership skills to influence others, with the ability to understand team dynamics, retain, attract, and develop team members.
• 6+ years of experience demonstrating a growth mindset, customer obsession, and Inclusion.
• 6+ years of experiece Demonstrated passion for product impact, including state-of-the-art tools, technologies, and methods being used in the research community and product groups.

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

• Lead the design and development of advanced AI models and agentic systems for real-world applications.
• Own and drive end-to-end model training, including data pipeline design, distributed training optimization, and performance evaluation.
• Stay up to date with the latest advancements in LLM, NLP, deep learning, search and AI research.
• Research and develop an understanding of the state-of-the-art tools, technologies, and methods being used in the research community and product groups.  Drive innovation by staying current with the latest research, technologies, and best practices in AI/ML, and Translate research breakthroughs into production-ready algorithms, contributing to core capabilities such as search, planning, and long-term memory.
• Collaborate closely with engineering, product, and research teams to productionize models, build scalable, robust pipelines and provide support for in production AI Models/Agents
• Collaborate with stakeholders to define project goals, success criteria, and deliverables.  Lead end-to-end lifecycle of machine learning models, from prototyping and implementation to evaluation, deployment, and monitoring.
• Mentor applied scientists and provide technical leadership across high-impact projects, foster a collaborative and innovative work environment.
• Driving the team's strategic vision, contribute to the organization’s scientific direction and align it with the overall company objectives, influencing roadmaps and long-term vision.
• Conduct applied science experiments, create and validate metrics, develop ML pipeline and modeling algorithm in the area of Large Language Models, Natural Language Processing, Information Retrieval, and Machine Learning.
• Conduct experiments to evaluate model performance (including Large Language Models), troubleshoot issues, and iterate improvements.
• Develop and deploy conversational and language understanding models at
• Following and advancing best practices for Responsible AI and Privacy Preserving Machine Learning.
• Drive thought leadership, architecture for high scale, high throughput, low latency inferencing.
• Drive AI projects through their entire life cycle from idea creation through applied research, implementation, experimentation and finally to worldwide availability.
• Be involved in the onboarding process for new team members, providing guidance and support as they join the team.
• Embody our , &