header alt image test
Microloft Logo

Microloft

Senior Language Engineer

Reposted An Hour Ago
Be an Early Applicant
In-Office
Mountain View, CA, USA
120K-261K Annually
Senior level
In-Office
Mountain View, CA, USA
120K-261K Annually
Senior level
Design and refine prompts and context for Copilot's language models; build evaluation frameworks for technical and non-deterministic metrics (e.g., EQ); research and implement novel prompting techniques; analyze large language datasets to surface issues and improve responses; own project status, mitigate risks, and collaborate with cross-functional teams to ship improvements.
The summary above was generated by AI
Overview

Microsoft AI Experiences is pushing the boundaries of technology. We are creating unique, beautiful and powerful products that will change lives. As a small, friendly, fast-moving team, we support each other to do the best work of our lives, always looking to break new ground, fast. We are proud of what we build, how we build it and that our products will define the AI era. We run lean, obsess about users, and always make our decisions based on the evidence. We ship regularly, so your work will have real and immediate impact. It’s a time of huge change in the AI landscape, and this role will put you right in the heart of it. 


We’re on the lookout for a detail-oriented Senior Language Engineer to help build the next wave of capabilities of our personal AI, Copilot. Language is an increasingly important modality for how we interact with computers. As a Language Engineer on the Copilot team, you will be responsible for how Copilot wields language. You will collaboratively work with data scientists, AI researchers, engineers, designers, and product managers to discover issues, define policy, evaluate language, collect data and ultimately improve the Large Language Models that power Copilot. We’re looking for someone with an abundance of positive energy, empathy, and kindness, in addition to being highly effective. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.  


Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.  


Starting January 26, 2026, Microsoft AI Experiences employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.


Responsibilities
  • Craft and refine the context and prompts used to steer, train and evaluate the language models that power Microsoft Copilot for emotional and intellectual use cases. 
  • Create evaluations and establish evaluation frameworks to measure both technical/practical performance and non-deterministic performance like EQ 
  • Research & implement novel prompting techniques 
  • Spin the data flywheel to extract insights from extensive language datasets to uncover issues and opportunities to improve model response quality. 
  • Accountable to own the status of key projects, proactively identifying risks and proposing solutions to ensure timely delivery.  

Qualifications

Required Qualifications 
 

  • Bachelor’s Degree in Computer Science, Philosophy, Linguistics, Psychology, Literature, or related discipline AND 1+ years experience in context engineering with foundational software engineering knowledge. 

  • 3+ years experience working in a fast-paced environment, managing multiple priorities, and adapting to changing requirements and deadlines. 

  • Hands-on experience with prompt design, context window management, and model evaluation. 

 

 

Preferred Qualifications 

  • 2+ years of experience shipping consumer-facing products. You’ve brought products to market, collected user feedback, defined success metrics and iteratively improved products. 

  • 1+ years of experience in building LLM applications with familiarity in agent and orchestration frameworks, tool use, LLM evaluations and driving efficiency improvements. 

  • Technical depth in software development, data science and machine learning. While you are not expected to write code on the critical path, you’re able to navigate and contribute to code repositories to implement context engineering improvements and write LLM scorers and classifiers to evaluate model response quality.  


Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay


This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.



Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Similar Jobs at Microloft

An Hour Ago
In-Office
Mountain View, CA, USA
143K-304K Annually
Senior level
143K-304K Annually
Senior level
Automation
Lead signal and power integrity (SIPI) architecture and implementation for compute and AI SoCs and platforms. Design, model, and simulate end-to-end power delivery (DC/AC/transient), validate I/O performance, drive chiplet and advanced packaging solutions, and collaborate across silicon, package, motherboard, thermal, and platform teams to deliver production-ready HPC processor systems.
Top Skills: Ac SimulationAdvanced PackagingChiplet ArchitectureDc SimulationDecoupling Capacitor SolutionsFoundry TechnologiesHpc PlatformsIp DesignMotherboard/Pcb DesignOsat TechnologiesPower Integrity ModelingSignal And Power Integrity (Sipi)Silicon NodesSoc DesignSubstrate TechnologiesTransient SimulationVoltage Regulator Design
An Hour Ago
In-Office
Mountain View, CA, USA
102K-261K Annually
Senior level
102K-261K Annually
Senior level
Automation
Lead applied research projects that advance AI for software developers (code completion, embeddings, agentic systems). Build datasets from public and internal code, train and manage large-scale ML experiments and models, collaborate across Microsoft Research, product teams, and GitHub, and transition research into product through experimentation and evaluation.
Top Skills: Code EmbeddingsCodellmCopilot CliGithub CopilotLlmRagVisual StudioVs Code
An Hour Ago
In-Office
143K-304K Annually
Senior level
143K-304K Annually
Senior level
Automation
Lead vision and execution for agentic AI products that reason, plan, and act across apps, web, and OS. Define MVPs, partner with research, engineering, and design, set up evaluation and data processes, balance platform trade-offs, and drive adoption while managing risk and postmortems.
Top Skills: Ai/MlAzureBingCopilotEdgeGenerative AiJavaScriptM365PythonSQL

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account