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Microsoft

Quick summary

Work type: On-site
Location: Redmond, WA
Salary: $119,800–$234,700 / yr
Posted: 61 days ago
Nearby: 99+ roles within 25 mi

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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 1577 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1405 roles with salary data.

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At a glance

TL;DR · | Microsoft Careers

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As a Member of Technical Staff in Multimodal Safety, you will join a cutting-edge team focused on ensuring the safe deployment of multimodal large language models used by millions through Copilot. Your daily tasks include designing novel safety evaluation frameworks, curating high-quality data for robust testing, and developing fine-tuning algorithms to enhance model alignment with organizational values. You will leverage expertise in diffusion models and generative content creation to build automated safety testing systems and maintain a user-centric approach by validating safety measures through user research. The role requires proficiency in languages such as Python, Java, or JavaScript, along with deep knowledge of multimodal AI safety, experience in building evaluation frameworks, and a track record of developing scalable safety solutions for large-scale production environments.

Skills

Python C++ Java JavaScript Multimodal_LLM_Safety Diffusion_Models Evaluation_Frameworks Automated_Red_Teaming Safety_Pipelines User_Research

What you'll do

Design novel safety evaluation frameworks to assess multimodal large language models.
Develop robust mitigation strategies and alignment techniques for AI model risks.
Build automated testing systems and generalize safety solutions into repeatable frameworks.
Maintain a user-oriented perspective by validating safety approaches through user research.
Track advances in multimodal safety research and adapt algorithms for production systems.

What we're looking for

Bachelor’s Degree in Computer Science or related field with 4+ years of technical engineering experience.
Proven expertise in multimodal LLM safety, including diffusion models and generative content creation.
Experience building evaluation frameworks, automated red-teaming, and reusable guardrail systems for large-scale safety.
Track record in developing safety pipelines and making user-validated safety decisions across product teams.
Strong coding skills in languages such as C, C++, C#, Java, JavaScript, or Python.

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