| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
USSan Francisco, CANew York, NY
Salary
$119,800–$234,700 / yr
Posted
60 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 66% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $177k 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

As a Senior Applied Scientist on Microsoft's Insights, Data Engineering & Analytics (IDEAS) team, you will play a pivotal role in enhancing data-driven decision-making for Microsoft 365 and the Experiences + Devices group. Your responsibilities include designing, prototyping, implementing, and deploying advanced machine learning models such as LLMs and generative AI frameworks to drive product growth and operational efficiency. You will collaborate closely with cross-functional teams to identify opportunities for applying state-of-the-art algorithms and statistical analysis tools, ensuring ethical and privacy-compliant data practices. The role requires expertise in machine learning, natural language processing, and causal inference, along with experience in developing and deploying live production systems. Ideal candidates possess a Master's or Doctorate degree in relevant fields and have hands-on experience in building scalable AI solutions for large-scale enterprise applications.

What you'll do

  • Develop and deploy scalable AI solutions using machine learning algorithms.
  • Identify opportunities for applying advanced algorithms to solve business problems.
  • Evaluate ML models using statistical analysis tools and validate data assumptions.
  • Independently run descriptive, diagnostic, predictive, and prescriptive statistics.
  • Design and implement ETL pipelines for data preparation and model training.
  • Gain expertise in specific areas of machine learning and related research techniques.

What we're looking for

  • Bachelor's degree in relevant field with 4+ years of related experience
  • Master's degree in relevant field with 3+ years of related experience
  • Experience developing and deploying live production systems as part of a product team
  • Experience presenting at industry conferences or events
  • Ability to design, prototype, implement, and deploy machine learning models
  • Understanding of approaches to identify techniques and seek feedback from peers

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