| Microsoft Careers

Microsoft

Quick summary

Work type: On-site
Location: US
Salary: $102,100–$202,200 / yr
Posted: 38 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $180k

This role $152k

$86k most similar roles pay here $251k

This role pays less than 70% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $152k versus about $180k for comparable roles.

Based on 239 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 1580 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1408 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

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As an Applied Scientist II in the Engs Ops Data & Applied Sciences team, you will drive cutting-edge GenAI and ML projects from conception to worldwide deployment, focusing on enhancing Azure customer experience. Your daily tasks include conducting rigorous experiments, integrating models into production systems, monitoring performance, and collaborating with cross-functional teams to ensure compliance with Microsoft’s Responsible AI standards. You will leverage advanced technologies such as large language models (LLMs) and semantic language models (SLMs) to build intelligent reasoning agents that address critical business challenges in security, reliability, and quality. This role requires a strong background in statistics, computer science, or related fields, along with experience in machine learning frameworks and information retrieval systems.

Skills

Python Azure ML LLMs SLMs CI/CD Docker Kubernetes Terraform PostgreSQL Prometheus Grafana Git GitHub Jupyter Notebook Scikit-learn TensorFlow PyTorch Responsible AI standards

What you'll do

Drive AI projects from conception to worldwide deployment.
Conduct rigorous experiments to evaluate and enhance ML solutions.
Integrate ML models into production systems and optimize their performance.
Ensure compliance with Microsoft’s Responsible AI standards throughout development.
Stay updated on advancements in machine learning and contribute to intellectual property.

What we're looking for

Bachelor's degree in a relevant STEM field plus internship experience, or Master's degree.
Experience driving AI projects from conception to worldwide deployment.
Proficiency in integrating ML models into production systems and optimizing their performance.
Expertise in conducting rigorous experiments and evaluations for AI solutions.
Strong collaboration skills with cross-functional teams including researchers and engineers.
Knowledge of Microsoft Responsible AI standards throughout the AI lifecycle.

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