Applied Scientist II
@ Microsoft

Bangalore, Karnataka, India
On Site
Full-time
Posted 3 days ago

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Job Details

About the Role

The Applied Scientist II at Microsoft is part of the Data and Artificial Intelligence team in the Developer Division within the CoreAI group. This role focuses on using advanced data science techniques, including large language models (LLMs), to enhance developer workflows.

Responsibilities

You will design and lead experiments, build and evaluate state-of-the-art models, including RAG pipelines, fine-tuning, and evaluation frameworks. Your work will drive the transformation of cutting-edge research into scalable, production-ready product features.

Collaboration & Impact

You will collaborate with data scientists, engineers, researchers, and product teams across Microsoft and GitHub to create AI-powered solutions that boost productivity for millions of developers worldwide.

Culture & Mission

At Microsoft, the mission is to empower every person and organization on the planet. The environment embraces a growth mindset with a focus on inclusion, respect, integrity, and accountability.

Key skills/competency

  • AI
  • LLMs
  • Data Science
  • RAG Pipelines
  • Model Evaluation
  • Experimentation
  • Collaboration
  • Software Engineering
  • Research
  • Product Development

How to Get Hired at Microsoft

🎯 Tips for Getting Hired

  • Research Microsoft’s culture: Understand values, mission, and teams.
  • Customize your resume: Tailor it with AI and data skills.
  • Highlight relevant experience: Showcase LLMs and model evaluation.
  • Prepare for technical questions: Review real-world AI application cases.

📝 Interview Preparation Advice

Technical Preparation

Review AI model architectures.
Practice LLM fine-tuning techniques.
Study real-world RAG implementations.
Brush up on data science experiments.

Behavioral Questions

Describe teamwork in complex projects.
Explain conflict resolution experiences.
Share a situation with strong collaboration.
Detail handling high-pressure deadlines.

Frequently Asked Questions