Full Stack ML Efficiency and Observability

Microsoft

Quick summary

Work type
On-site
Location
Mountain View, CA
Salary
$119,800–$234,700 / yr
Posted
91 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
$103k most similar roles pay here $281k

This role pays less than 80% of similar roles. Most pay $185,162–$243,150 — 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 368 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 347 roles with salary data.

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At a glance

TL;DR · Full Stack ML Efficiency and Observability

Role Posting Log in to save

Join Microsoft's ML Efficiency & Observability team as a Senior Full Stack Engineer to build cutting-edge user experiences for managing compute capacity and enhancing model performance visibility. You will collaborate closely with research teams to translate complex requirements into intuitive interfaces, integrating backend APIs from schedulers and training frameworks to provide comprehensive lifecycle insights. Your role involves designing features for the capacity management portal, contributing to internal tooling, and implementing best practices to ensure high-quality code. Ideal candidates have a strong background in JavaScript/TypeScript, React, HTML/CSS, and experience with generative AI tools, alongside 4+ years of software development or related field expertise. This position focuses on optimizing large-scale compute infrastructure for foundational models at the forefront of AI innovation.

Skills

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

What you'll do

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

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