搜索建议:

外企
远程办公
remote
海外
兼职
国外工作
实习
新加坡
account
marketing
part time
日语
finance
澳門
澳門
顺德区
上海市
Shanghai
香港
Wuhan
Shenzhen
Xiamen
Suzhou City
四川省
Wenzhou

Senior Applied Scientist (Copilot Platform AML Team)

Microsoft
Beijing, 北京市
全职
3天前

The Copilot Platform AML Team is driving the next generation of intelligent assistant infrastructure, powering Microsoft Copilot experiences across the enterprise. Our mission is to build foundational language models that make Copilot more helpful, responsive, and accessible to millions of users worldwide.
We are looking for Applied Scientists to pioneer innovations in scalable training and inference optimization for both Small and Large Language Models (SLMs/LLMs). In this role, you will directly shape the core platform capabilities of Copilot, influencing how organizations interact with AI-driven assistants every day.
Our work spans the entire model lifecycle—from supervised fine-tuning to advanced post-training techniques such as instruction tuning, reinforcement learning, and alignment. We also push the boundaries of model efficiency with cutting-edge compression strategies, including GPTQ, AWQ, and pruning, to deliver faster, more cost-effective inference at scale.
If you’re passionate about creating intelligent assistant systems that combine deep model expertise with world-class engineering, and want to shape the future of enterprise AI, we’d love to have you on our team.

Responsibilities

Model Optimization & Deployment:
Design and implement efficient workflows for training, distillation, and fine-tuning Small and Large Language Models (SLMs), leveraging techniques such as LoRA, QLoRA, and instruction tuning.
Apply model compression strategies—including quantization (e.g., GPTQ, AWQ) and pruning—to reduce inference costs and improve latency.
Optimize LLM inference performance using frameworks like vLLM and TensorRT-LLM (TRT-LLM) to enable scalable, low-latency deployment.
Build robust and scalable inference systems tailored to heterogeneous production environments, with a strong focus on performance, cost-efficiency, and stability.

Evaluation & Data Management:
Develop evaluation datasets and metrics to assess model performance in real-world product scenarios.
Build and maintain end-to-end machine learning pipelines encompassing data preprocessing, training, validation, and deployment.
Cross-functional Collaboration:
Collaborate closely with product managers, engineers, and research scientists to translate business needs into impactful AI solutions, driving real-world adoption and seamless product integration. 

Qualifications

Basic Qualifications:
Master’s degree or above (or equivalent experience) in Computer Science, Engineering, Mathematics, Physics, or a related field.
Strong programming skills with hands-on experience in managing large-scale data and machine learning pipelines.
Deep understanding of open-source ML frameworks such as PyTorch, vLLM, and TensorRT-LLM (TRT-LLM).
Solid knowledge of model optimization techniques, including quantization, pruning, and efficient inference.

 Preferred Qualifications:
1+ years of experience optimizing LLM inference using frameworks like vLLM or TRT-LLM.
Practical experience in model compression and deployment within production systems.
Experience designing agentic AI systems, such as multi-agent orchestration, tool usage, planning, and reasoning.

 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

 

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

保存 申请
举报职位
其他职位推荐:

Principal Applied Scientist

微软
Beijing, 北京市
  • Ph.D. (or equivalent research experience) in Computer...
  • 6+ years of experience in AI/ML, with a focus on LLMs,...
2周前

Senior Associate Operator, Production, Process Expert

Celanese
顺德区, 广东省
2. 具备优秀的生产一线的工艺知识来监控,预测,汇报,消除,解决或者升级可能影响4个核心原则的问题
1周前

Senior Applied Scientist--M365

Microsoft
Suzhou City, 江苏省
  • Drive data exploration and analysis by collecting initial...
  • Build and evaluate ML models by running modeling tools on...
1周前

Principal Applied Scientist (LLMs)

微软
Beijing, 北京市
  • Ph.D. (or equivalent research experience) in Computer...
  • 6+ years of experience in AI/ML, with a focus on LLMs,...
3天前

Scientist

Huntsman Corp
Shanghai, 上海市
  • Carry out lab evaluations to identify value proposition and...
  • Investigate customer needs and develop an in-depth...
6天前

Senior Concept Artist, Environment (Contract)

Riot Games, Inc.
上海市
  • 与场景概念负责人紧密合作构思场景概念设计
  • 为游戏关卡中的关键场景、地貌、建筑、生态与文化元素等提供高质量的layout设计/单体设计/氛围概念设计图,以适应不同开...
  • 通过设计传达场景的历史背景与世界观设定, 参与定义艺术基调与世界构造逻辑...
2周前

Senior Planner

Dentsu
Beijing, 北京市
The purpose of this role is to provide support to the senior team, taking responsibility for all administrative tasks within the...
3周前

Commis II - ADDK 西厨房厨师二级

Marriott International
Sanya City, 海南省
Prepare ingredients for cooking, including portioning, chopping, and storing food Prepare and cook food according to recipes,...
2天前

Assistant Project Manager

Johnson Electric
澳門
  • Define project scope, objectives, set project timeline and...
  • Ensure projects are completed on time, within budget and...
2天前

Markets Quantitative Analyst, Off

State Street
離島區, 香港
  • Support model owner, in the execution of...
  • Support SSM Risk and Capital Optimization team on...
2天前