| Microsoft Careers

Microsoft

Quick summary

Work type: On-site
Location: Redmond, WACANY
Salary: $119,800–$234,700 / yr
Posted: 56 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $181k

This role $177k

$106k most similar roles pay here $248k

This role pays more than 59% of similar roles. Most pay $155,000–$207,350 — the shaded band above. At the midpoint, this role pays about $177k versus about $181k for comparable roles.

Based on 238 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 1103 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 985 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

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As a Senior Applied Scientist or Principal Applied Scientist in the Microsoft Applied Sciences Group, you will join a dynamic team focused on developing cutting-edge AI technologies for next-generation hardware products. Your role involves optimizing machine learning models for edge devices, contributing to the design and evaluation of deep neural networks, and collaborating with various engineering teams to build real-time systems. You will also mentor junior engineers and participate in knowledge-sharing sessions. The ideal candidate has extensive experience in deep learning, particularly with transformer-based architectures like BERT or GPT-3, and proficiency in Python along with modern ML frameworks such as PyTorch or TensorFlow. This role offers the opportunity to work on innovative projects that impact millions of users, addressing complex challenges at scale within a startup-like environment inside Microsoft.

Skills

Python PyTorch TensorFlow BERT GPT-2 GPT-3 LLaMA OPT LoRA GPTQ ONNX NeurIPS ICML ICLR ACL CVPR ICCV ECCV TPAMI

What you'll do

Optimize and fine-tune machine learning models for edge device inferencing.
Design, develop, and evaluate deep neural network models for real-time systems.
Identify and address issues in machine learning frameworks and associated hardware.
Mentor junior engineers and contribute to team knowledge-sharing sessions.
Convert and deploy large language models using modern ML frameworks like ONNX.

What we're looking for

3+ years of experience in deep learning and large language models, including transformer-based architectures.
Proficiency in Python for machine learning research and experimentation workflows.
Experience with modern ML frameworks such as PyTorch or TensorFlow.
Demonstrated record of publications in top-tier conferences or journals.
Ability to optimize large language models using techniques like model compression and quantization.
Experience building production-quality APIs, SDKs, or software packages for external consumption.
Passion for incubating new ideas and solving complex problems in AI systems.

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