Full Stack ML Efficiency & Observability | Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type: Hybrid
Location: Mountain View, CA
Salary: $119,800–$234,700 / yr
Posted: 64 days ago
Closes: Sep 30, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $214k

This role $177k

$104k most similar roles pay here $269k

This role pays less than 80% of similar roles. Most pay $192,050–$235,812 — the shaded band above. At the midpoint, this role pays about $177k versus about $214k 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 310 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 285 roles with salary data.

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At a glance

TL;DR · Full Stack ML Efficiency & Observability | Microsoft Careers

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Join Microsoft's ML Efficiency & Observability team as a Senior Full Stack Engineer to build cutting-edge solutions for managing compute capacity and enhancing model performance. You will design intuitive interfaces that cater to both executives and researchers, integrating backend APIs from schedulers and training frameworks to provide comprehensive visibility across the entire training lifecycle. Your role involves collaborating closely with research teams to translate complex requirements into user-friendly features while adhering to best software development practices. Ideal candidates have extensive experience in JavaScript/TypeScript, React, HTML/CSS, and familiarity with generative AI tools, alongside a strong background in software engineering or related fields. This position offers the opportunity to work on large-scale projects that drive efficiency improvements in Microsoft’s foundational models.

Skills

JavaScript TypeScript React HTML CSS Python C C++ Java AWS Kubernetes CI/CD Git Visual_Studio_Code Docker Prometheus Grafana

What you'll do

Design and develop features for capacity management portal.
Provide visibility into model performance across the fleet.
Translate ML researchers' requirements into intuitive interfaces.
Integrate backend APIs from schedulers to training frameworks.
Contribute to internal tooling and infrastructure development.
Implement best software development practices for code quality.

What we're looking for

4+ years of technical engineering experience in software development.
Bachelor's degree in Computer Science, Math, Engineering, or related field.
Experience with JavaScript/TypeScript, React, HTML, CSS, and browser internals.
Solid understanding of web performance, accessibility, and cross-browser compatibility.
Expertise in capacity management, efficiency management, ML training, and inference.
Development experience with generative AI tools.

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