| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type
Hybrid
Location
—
Salary
$119,800–$234,700 / yr
Posted
59 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 66% 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 1580 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1408 roles with salary data.

Most-posted roles

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At a glance

TL;DR · | Microsoft Careers

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As a Member of Technical Staff specializing in AI Safety Post-Training, you will join a cutting-edge team focused on ensuring the safety and alignment of advanced AI systems used by millions through Copilot. Your daily responsibilities include designing novel safety evaluation frameworks, curating high-quality data for robust evaluations, prototyping new safety capabilities, and developing fine-tuning algorithms to enhance model reliability. You will leverage expertise in AI safety methodologies such as RLHF and constitutional AI approaches to mitigate risks and build automated testing systems. The role requires strong coding skills in languages like Python, Java, or JavaScript, along with a deep understanding of large language models and their potential impacts on users. Ideal candidates are proactive researchers who can translate theoretical insights into practical solutions while maintaining a user-centric perspective in a fast-paced environment.

Skills

Python JavaScript C C++ Java AI Safety RLHF Constitutional AI Alignment Techniques Red-Teaming Automated Testing User Research CI/CD

What you'll do

  • Develop novel safety evaluation frameworks for post-training large language models.
  • Implement red-teaming methodologies to assess model safety across diverse scenarios.
  • Build automated testing systems and generalize safety solutions into repeatable frameworks.
  • Write efficient code for safety model pipelines and intervention systems.
  • Track advances in AI 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.
  • Proficiency in coding languages such as C, C++, C#, Java, JavaScript, or Python.
  • Expertise in AI safety to develop novel mitigation strategies and alignment techniques.
  • Ability to create comprehensive evaluation frameworks for assessing model safety.
  • Experience in building automated safety testing systems and writing efficient code.
  • Understanding of user perspectives and validation through user research.
  • Familiarity with large language models and experience working with them.

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