Senior Language Engineer

Microsoft

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
—
Salary
$119,800–$234,700 / yr
Posted
91 days ago
Freshness
Confirmed live yesterday
Closes
Jan 26, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $169k
This role $177k
$106k $248k
below market most similar roles pay here above market

This role pays more than 67% of similar roles. Most pay $149,500–$189,250 — the blue band above. At the midpoint, this role pays about $177k versus about $169k 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 687 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 646 roles with salary data.

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View all roles at Microsoft

At a glance

TL;DR · Senior Language Engineer

The Senior Language Engineer joins the Microsoft AI Experiences team to build the next wave of capabilities for Copilot, a personal AI. In this role, you will collaborate with data scientists, researchers, and designers to discover issues, define policy, and improve the Large Language Models powering the product. Your daily responsibilities include crafting prompts to steer and train models for emotional and intellectual use cases, creating evaluation frameworks to measure technical and non-deterministic performance like EQ, and researching novel prompting techniques. You will manage context windows, extract insights from extensive language datasets, and write LLM scorers or classifiers. The role requires expertise in context engineering, prompt design, and model evaluation, utilizing foundational software engineering knowledge to navigate code repositories and improve model response quality within a fast-paced consumer product environment.

What you'll do

  • Craft and refine prompts to steer, train, and evaluate language models for emotional and intellectual use cases.
  • Create evaluation frameworks to measure technical performance and non-deterministic qualities like EQ.
  • Research and implement novel prompting techniques to improve model capabilities.
  • Analyze extensive language datasets to identify issues and opportunities for improving model response quality.
  • Own the status of key projects by proactively identifying risks and proposing solutions for timely delivery.
  • Contribute to code repositories to implement context engineering improvements and write LLM scorers and classifiers.

What we're looking for

  • Bachelor’s Degree in Computer Science, Philosophy, Linguistics, Psychology, Literature, or a related discipline.
  • 1+ years of experience in context engineering with foundational software engineering knowledge.
  • 3+ years of experience working in a fast-paced environment managing multiple priorities and changing deadlines.
  • Hands-on experience with prompt design, context window management, and model evaluation.
  • 2+ years of experience shipping consumer-facing products (preferred).
  • 1+ years of experience building LLM applications with familiarity in agent and orchestration frameworks (preferred).
  • Technical depth in software development, data science, and machine learning (preferred).
  • Ability to navigate and contribute to code repositories to implement context engineering and write LLM scorers (preferred).

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