Applied Scientist
Microsoft · Redmond, WA · Applied Sciences
mid
machine learning
Applied Scientist
ic
· Posted May 19, 2026
$102,100 – $202,200
USD per year
Skills
About this role
Microsoft is hiring a mid-level Applied Scientist in the machine learning function based in Redmond, WA. The posting calls out experience with LLMs, Machine Learning, Azure, A/B Testing. Compensation is listed at $102,100–$202,200 per year.
- Role
- Applied Scientist
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Redmond, WA
- Department
- Applied Sciences
- Posted
- May 19, 2026
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Job description
from Microsoft careersOverview
Responsibilities
Are you a customer-obsessed, AI-curious problem-solver who thrives in an inclusive, collaborative global team? Join Engineering Operations (EngOps) – the organization driving operational excellence across the Microsoft Cloud to strengthen quality, reliability, security, and customer trust. As part of EngOps, you’ll design solutions that prevent issues before they happen, embed AI-powered automation, and turn signals into actions that deliver measurable customer impact. Our culture of empowerment, inclusion, and growth mindset defines how we work.
Every day, customers stake their business and reputation on our cloud. You can help EngOps keep them secure, resilient, and ready.
In the new era of AI, this role within Engs Ops Data & Applied Sciences team will provide you the opportunity to work on cutting-edge GenAI and ML (Machine Learning) solutions that drive specific, measurable, and impactful improvements to key areas of Azure customer experience. In an environment of high opportunity and impact, we are looking for an Applied Scientist II who can deliver on key initiatives for Security, Reliability and Quality through advanced AI solutions with a cross-functional team of Product Managers, Designers, Engineers and Data Scientists.
Responsibilities
As a Data and Applied Scientist in our team, you will:
- Drive AI projects through their entire life cycle from idea creation through applied research, implementation, experimentation and finally to worldwide availability.
This is an excerpt. Read the full job description on Microsoft careers →