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Microsoft

Quick summary

Work type: On-site
Location: US
Salary: $119,800–$234,700 / yr
Posted: 70 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $180k

This role $177k

$106k most similar roles pay here $248k

This role pays more than 64% 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.

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At a glance

TL;DR · | Microsoft Careers

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As a Senior Machine Learning Engineer on Microsoft Teams’ Applied Science team, you will lead the design and architecture of large-scale machine learning solutions, focusing on production-grade systems that integrate data pipelines, training regimes, and model serving. Your day-to-day responsibilities include selecting appropriate models, ensuring efficient and explainable code, monitoring for bias and reliability, mentoring junior engineers, and collaborating with cross-functional teams to deliver integrated ML systems. Ideal candidates have extensive experience in training or fine-tuning large language models, reinforcement learning, agentic AI architectures, and inference optimization using frameworks like PyTorch, JAX, or TensorFlow. This role demands expertise in machine learning engineering across the entire lifecycle from ideation to deployment, with a focus on delivering impactful results in a fast-paced environment.

Skills

Python PyTorch TensorFlow JAX C C++ C# Java JavaScript ML engineering Data pipelines Model serving Performance optimization CI/CD MLOps Reinforcement learning Agentic AI architectures Multimodal systems Large language models(LLMs) Monitoring

What you'll do

Lead the design and architecture of ML solutions for projects/sub-systems.
Select appropriate models, training regimes, and serving approaches for ML systems.
Produce maintainable, efficient, and explainable ML code for production use.
Drive monitoring to ensure model reliability, bias/fairness, and performance optimization.
Mentor early-in-profession engineers through design/code reviews and quality standards.

What we're looking for

Bachelor's degree in Computer Science or related field and 4+ years of technical engineering experience.
Experience coding in C, C++, C#, Java, JavaScript, or Python.
Proficiency with at least one deep learning framework like PyTorch, JAX, or TensorFlow.
Expertise in training and fine-tuning large language models (LLMs) and multimodal systems.
Knowledge of reinforcement learning and agentic AI architectures.
Ability to design, build, deploy, and optimize large-scale ML systems.

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