Microsoft AI are looking for a talented Senior Software Engineer at their Suzhou office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

The MAI-A Fundamentals team is dedicated to building one of the world's largest distributed systems to power Bing Search, Copilot Search, Grounding APIs, and drive advancements in relevance through cutting-edge deep learning techniques. We are currently developing the next generation of grounding APIs and their hosting platform services, with the goal of creating the fastest and most modern search API business. Our efforts focus on constructing a system with a tens-of-billions-level index, an orchestration engine capable of operating within hundreds of milliseconds, and an online GPU inference system. These innovations will enable rapid, scalable, and intelligent search capabilities for a wide range of applications.

Accountabilities

• Understand User Requirements Collaborates with appropriate stakeholders (e.g., relevance customers teams, project manager, other team members, and all other service owners) to determine user requirements for each scenario on the service gaps based on their scenarios.
• Design, coding and implementation Takes part in the discussions for the architecture of products/solutions and creates proposals for architecture by testing design hypotheses and helping to refine code plans.

The Candidate we're looking for

Experience:

• 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.

Technical skills:

• Familiar with cloud computing platforms such as Azure, K8s.

Personal attributes:

• Good communication, collaboration and problem solving skills, fluent English speaking and writing.

Benefits

• Starting January 26, 2026, Microsoft AI employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week.
• Health and wellbeing benefits
• Professional development opportunities
• Financial benefits (bonus, equity, pension, etc.)

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Microsoft AI are looking for a talented Senior Software Engineer at their Beijing office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

The MAI-A Fundamentals team is dedicated to building one of the world's largest distributed systems to power Bing Search, Copilot Search, Grounding APIs, and drive advancements in relevance through cutting-edge deep learning techniques. We are currently developing the next generation of grounding APIs and their hosting platform services, with the goal of creating the fastest and most modern search API business. Our efforts focus on constructing a system with a tens-of-billions-level index, an orchestration engine capable of operating within hundreds of milliseconds, and an online GPU inference system. These innovations will enable rapid, scalable, and intelligent search capabilities for a wide range of applications.

Accountabilities

• Understand User Requirements
• Collaborates with appropriate stakeholders to determine user requirements for each scenario on the service gaps based on their scenarios.
• Design, coding and implementation
• Takes part in the discussions for the architecture of products/solutions and creates proposals for architecture by testing design hypotheses and helping to refine code plans.

The Candidate we're looking for

Experience:

• 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.

Technical skills:

• Familiar with cloud computing platforms such as Azure, K8s.

Personal attributes:

• Good communication, collaboration and problem solving skills, fluent English speaking and writing.

Benefits

• Starting January 26, 2026, Microsoft AI employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week.
• Health and wellbeing benefits
• Professional development opportunities
• Financial benefits (bonus, equity, pension, etc.)

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What you'll do

• Apply state-of-the-art ML and LLM techniques to solve problems spanning:
• Personalization (LLM memory, context summarization, retrieval and ranking);
• Query Understanding (intent modeling, rewriting, agentic decomposition);
• Content Discovery (feed ranking and surfacing)
• Rigorously evaluate LLM/ML models with both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact.
• Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement.
• Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements.
• Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle.

What you need

• 5+ years experience building and shipping robust ML/AI models for large-scale, user-facing or data-driven products.
• Deep expertise in deep learning (PyTorch, TensorFlow, JAX), LLMs, information retrieval, content summarization, recommendation systems, NLP, and/or ranking.
• Strong software engineering skills (Python, production-quality codebases, collaborative development).
• In-depth experience with the full ML lifecycle: data analysis, feature engineering, iterative model development, rigorous evaluation, and ongoing monitoring/improvement.
• Proven collaborator and communicator; excels in high-velocity, cross-functional teams.
• Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI.
• BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience).

Bonus Points For

• Experience with LLM prompt engineering, Retrieval-augmented generation (RAG) based systems.
• Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc).
• Open-source or published contributions in ML, NLP, IR, or relevant research fields.

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