Want to get hired at Microsoft?
Senior Applied Scientist
Microsoft
Bangalore, Karnataka, IndiaOn Site
Original Job Summary
Job Overview
The Senior Applied Scientist at Microsoft is part of the Data and Artificial Intelligence team within the Developer Division’s CoreAI group. This role focuses on the future of AI for Developers, applying advanced data science techniques, particularly around LLMs, to real-world developer workflows.
Key Responsibilities
- Develop and apply advanced data science techniques to developer tools.
- Design and lead experiments on state-of-the-art models.
- Build and evaluate models including RAG pipelines and finetuning frameworks.
- Collaborate with cross-functional teams across Microsoft and GitHub.
- Translate research insights into scalable product features.
About Microsoft
Microsoft’s mission is to empower every person and organization on the planet to achieve more. The company values respect, integrity, and accountability and fosters a culture of inclusion, growth, and collaboration.
Key skills/competency
Senior Applied Scientist, AI, LLMs, data science, RAG pipelines, finetuning, model evaluation, developer tools, experimentation, collaboration
How to Get Hired at Microsoft
🎯 Tips for Getting Hired
- Customize your resume: Highlight AI, LLMs, and data science skills.
- Research Microsoft: Understand culture, mission, and product details.
- Showcase projects: Emphasize experiments and model-building expertise.
- Network strategically: Connect with current Microsoft and GitHub employees.
📝 Interview Preparation Advice
Technical Preparation
circle
Review advanced LLM frameworks and methodologies.
circle
Study machine learning model evaluation techniques.
circle
Practice coding in Python and data analysis.
circle
Understand RAG pipelines and finetuning methods.
Behavioral Questions
circle
Describe a challenging project and your approach.
circle
Explain collaboration in cross-functional teams.
circle
Discuss dealing with unforeseen project changes.
circle
Illustrate problem-solving and decision making.