Senior Applied Scientist and Principal Applied Scientist | Microsoft Careers

Microsoft

Quick summary

Work type: On-site
Location: —
Salary: $119,800–$234,700 / yr
Posted: 3 days ago
Closes: Nov 29, 2026

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Competitive pay

How this pay compares to similar roles

Similar $185k

This role $177k

$106k most similar roles pay here $248k

This role pays more than 65% of similar roles. Most pay $162,000–$208,800 — the shaded band above. At the midpoint, this role pays about $177k versus about $185k for comparable roles.

Based on 239 similar postings.

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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 728 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 664 roles with salary data.

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TL;DR · Senior Applied Scientist and Principal Applied Scientist | Microsoft Careers

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As a Senior Applied Scientist in the Core AI Speech Group, you will join a team dedicated to advancing speech technologies through deep learning innovations. Your role involves developing cutting-edge speech algorithms that integrate with large language models for multimodal applications, addressing scalability issues and enhancing real-world user experiences. You will work within large-scale computing frameworks, data analysis systems, and modeling environments to refine and deploy models in production, continuously monitoring their performance against set benchmarks. Ideal candidates possess a strong background in statistics, computer science, or related fields with extensive experience in predictive analytics, research publication, and live system deployment. The position requires expertise in deep learning, signal processing, and natural language understanding, as well as proficiency in Python and other relevant programming languages. This role impacts millions of users by solving complex speech technology challenges at scale.

Skills

Python TensorFlow PyTorch Kubernetes Docker CI/CD PostgreSQL AWS Azure Google Cloud Platform Scalability Large-Scale Computing Data Analysis Systems Deep Learning Speech Modeling Multimodal Modeling End-to-End Speech Technologies

What you'll do

Develop novel speech algorithms to advance state-of-the-art technologies for real-world scenarios.
Integrate speech with large language models (LLMs) for multimodal modeling innovations.
Improve models by working with large-scale computing frameworks and data analysis systems.
Experiment with multiple models in production, evaluating their performance rigorously.
Monitor algorithm performance against expected behaviors and accuracy standards continuously.

What we're looking for

Bachelor's degree with 6+ years or Master's degree with 4+ years in relevant field required.
Doctorate with 3+ years of related research or industry experience preferred.
At least 3 years of experience creating publications such as patents, libraries, and peer-reviewed papers.
Experience presenting at conferences or events as an invited speaker for 1+ year(s).
Conducted research within a formal program in academic or industry settings for 3+ years.