| Microsoft Careers

Microsoft

Quick summary

Work type: On-site
Location: Redmond, WA
Salary: $119,800–$234,700 / yr
Posted: 8 days ago
Closes: Dec 6, 2026
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $192k

This role $177k

$106k most similar roles pay here $248k

This role pays more than 63% of similar roles. Most pay $177,250–$207,350 — the shaded band above. At the midpoint, this role pays about $177k versus about $192k for comparable roles.

Based on 240 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 1589 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1415 roles with salary data.

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At a glance

TL;DR · | Microsoft Careers

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As a Senior Applied Scientist on the Microsoft Copilot team, you will lead the development of machine learning and generative AI systems that enhance conversational shopping experiences by designing models for product discovery, ranking, recommendation, and personalization. Your daily tasks include building LLM-based systems with prompt design and retrieval-augmented generation, addressing quality challenges like hallucination risk, and defining evaluation frameworks to ensure reliable Copilot experiences. You will collaborate closely with cross-functional teams to translate models into user-facing features while providing technical leadership through mentoring and setting quality standards. The role requires proficiency in Python or R for data analysis, experience with Apache Spark or Azure Databricks for large-scale data processing, and practical knowledge of LLMs and prompt engineering for domain adaptation, ensuring compliance with Responsible AI practices.

Skills

Python R SQL Apache Spark Azure Databricks ARIMA isolation forests prompt engineering GPT-like models Responsible AI

What you'll do

Design and build machine learning models for product discovery, ranking, recommendation, and personalization.
Develop conversational shopping systems using large language models and prompt engineering techniques.
Address quality and trust issues in generative AI systems to ensure reliability and accuracy.
Define evaluation frameworks and conduct experiments for conversational and proactive shopping scenarios.
Provide technical leadership by mentoring team members and setting quality standards for applied science projects.
Contribute to model governance and Responsible AI practices to maintain system compliance and trustworthiness.

What we're looking for

3+ years of hands-on ML or statistical modeling experience.
Proficiency in Python/R for data analysis and SQL for querying.
Experience with large-scale data processing tools like Apache Spark.
Skills in time-series analysis and anomaly detection techniques.
Practical experience with prompt engineering and LLM fine-tuning.

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