Applied Scientist
@ Microsoft

Hybrid
$150,000
Hybrid
Full Time
Posted 7 hours ago

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Job Details

Overview

The M365 Core organization at Microsoft is seeking Mid Level and Senior Applied Scientist professionals. In this role, you will advance artificial intelligence, machine learning, and model optimization for Microsoft 365's core services.

Role Responsibilities

As an Applied Scientist, you will:

  • Conduct research and develop AI models for Microsoft 365 services.
  • Fine-tune large language models for task-specific solutions.
  • Collaborate with engineers and researchers in deep learning and NLP.
  • Measure, analyze, and report on model performance using predictive analytics.
  • Contribute to an inclusive and innovative team culture.

Qualifications

Candidates should have a relevant degree or equivalent experience in computer science, engineering, or related fields. Proven background in AI/ML model training, especially with LLMs/SLMs, and proficiency in Python are required. Experience with productizing AI/ML components at scale is a plus.

Microsoft Culture

Microsoft emphasizes respect, integrity, and accountability, fostering a culture where every individual can thrive. The environment is research-driven and encourages deep thinking, advanced development, and fast-paced execution.

Key skills/competency

Artificial Intelligence, Machine Learning, Deep Learning, NLP, LLMs, Model Optimization, Python, Research, Analytics, Collaboration

How to Get Hired at Microsoft

🎯 Tips for Getting Hired

  • Research Microsoft culture: Study values, mission, and recent news.
  • Customize your resume: Highlight AI and ML project experience.
  • Emphasize technical skills: Showcase deep learning and NLP proficiency.
  • Prepare for interviews: Review AI algorithms and model optimization.

📝 Interview Preparation Advice

Technical Preparation

Review deep learning frameworks.
Practice Python coding challenges.
Study LLM fine-tuning techniques.
Analyze recent AI research papers.

Behavioral Questions

Describe team conflict resolution experiences.
Explain how you handle tight deadlines.
Discuss your collaboration in diverse teams.
Share an example of innovative problem solving.

Frequently Asked Questions