Senior Applied Scientist
at Microsoft
Posted 5 hours ago
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Senior Applied Scientist to design and implement advanced LLM-based architectures and agentic systems for real-world Office productivity scenarios. Translate research breakthroughs into production-ready algorithms, contributing to core capabilities such as reasoning, planning, long-term memory, and code-gen based design. Monitor and improve model performance post-deployment through data-driven iteration and error analysis, collaborating across teams to deliver robust, scalable models aligned with product objectives. Contribute to the organization’s scientific direction by identifying research opportunities that drive long-term differentiation.
We are seeking a highly skilled and motivated Applied Scientist with strong hands-on experience in building and optimizing agentic AI systems. Our mission is to benefit Office users with rich content and tool support to raise productivity, and we are building the AI and engineering system to make it happen. This position offers an exciting opportunity to design and develop highly complex and comprehensive systems combining engineering, AI and human participation. You will work closely with product managers, designers, and users to turn ideas and AI into reality and make a great impact to all global Office users.
Responsibilities
- Design and implement advanced LLM-based architectures and agentic systems for real-world product scenarios.
- Translate research breakthroughs into production-ready algorithms, contributing to core capabilities such as reasoning, planning, long-term memory, code-gen based design.
- Monitor and improve model performance post-deployment through data-driven iteration and error analysis.
- Collaborate across teams to deliver robust, scalable models aligned with product objectives and user value.
- Contribute to the organization’s scientific direction by identifying research opportunities that drive long-term differentiation.
Qualifications
- M.S. or Ph.D. in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
- 5+ years of experience in applied machine learning, with a focus on LLMs, agent systems, or reinforcement learning.
- Strong hands-on experience with prompt engineering, context engineering, retrieval-augmented generation (RAG), tool use, planning agents, and long-context modeling, etc.
- Familiarity with model training pipelines using PyTorch, TensorFlow, JAX, or similar frameworks, evaluation strategies, and model deployment best practices.
- Strong coding and debugging skills, and comfort working in cross-functional, agile environments.
- Experience on office document generation and related applications is a plus.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
