Microsoft Senior Applied Scientist 

China, Shanghai 

729389476

Senior Applied Scientistin Shanghai,both large language models and small language models (run on devices) and tuning models on CPU/GPU/NPU. This role is crucial for enhancing AI skills and delivering exceptional AI experiences on Windows devices.

Required Qualifications:

• :Master'sdegree or PhD in Computer Science, Engineering, or a related field.

• Minimum of 5 years of experience in software engineering with a focus on AI and machine learning.

• Technical Skills:

• Proficient in programming languages such as Python, Java, C#, or C++.

• Strong understanding of AI and machine learning frameworks (TensorFlow,PyTorch, etc.).

• Familiarity with data processing and analysis tools (SQL, Cosmos, Spark).

• AI Expertise:

• Demonstrated experience in building AI features.

• Proficient in fine-tuning AI models for performance and accuracy.

• Experience with A/B testing and statistical analysis.

• Excellent analytical and problem-solving skills, with the ability to tackle complex technical challenges.

• Strong communication

Preferred Qualifications:

• Experience with experiments, machine learning, anomaly detection, predictive analysis, exploratory data analysis, and/or other areas of data science on a large-scale product.
• Experience with languages like C#/Java is a plus.
• Engineering experience using large data systems on SQL, cosmos, Hive queries, etc.is nice to have.

• Model Fine-Tuning:Fine-tune AI models to improve accuracy, efficiency, and performance, ensuring they meet thehigh standardsof our user base.
• Data analysis:Design & develop data transformation processes for petabytes of raw data, perform feature engineering for machine learning.
• A/B Testing:Conduct A/B testing to evaluate the effectiveness of AI models and services, providing insights and recommendations for improvements.
• Performance Optimization:Identifyand resolve performance bottlenecks, ensuring AI services run smoothly and efficiently on various Windows devices.
• Collaboration:Work closely with cross-functional teams, including data scientists, UX designers, and product managers, to integrate AI solutions seamlessly into Windows.
• Communication: Communicate complex quantitative analysis in a clear, precise, and actionable manner to non-technical audiences.
• Innovation:Stayup-to-datewith the latest advancements in AI and machine learningtechnologies, andapply these insights to drive innovation within the team.
• Code Quality:Write clean, maintainable, and efficient code, adhering to best practices and industry standards.
• Mentorship: