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    <job>
      <externalid>930f14dd-03d</externalid>
      <Title>Member of Technical Staff - Multimodal Safety - MAI Super Intelligence Team</Title>
      <Description><![CDATA[<p>As a Member of Technical Staff, Multimodal Safety, you will work to develop and implement cutting-edge safety methodologies for post-training multimodal large language models to be served to millions of users through Copilot every day.</p>
<p>We work on the bleeding edge and leverage the most powerful pretrained models and algorithms, making it critical that we ensure our AI systems behave safely and align with organisational values.</p>
<p>You will be responsible for designing novel safety evaluation frameworks, curating high-quality data for robust evaluations and training, prototyping new safety capabilities, and developing safety-focused fine-tuning algorithms.</p>
<p>We&#39;re looking for outstanding individuals with deep expertise in multimodal AI safety who can translate research insights into practical solutions while being a strong communicator and collaborative teammate.</p>
<p>The ideal candidate takes the initiative in exploring new safety methodologies and enjoys building world-class, trustworthy AI experiences in a fast-paced applied research environment.</p>
<p>Microsoft&#39;s mission is to empower every person and every organisation on the planet to achieve more.</p>
<p>As employees we come together with a growth mindset, innovate to empower others, and collaborate to realise our shared goals.</p>
<p>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.</p>
<p>Responsibilities:</p>
<p>Leverage expertise in multimodal safety to uncover potential risks and develop novel mitigation strategies, including alignment techniques and robustness improvements for multimodal large language models.</p>
<p>Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes.</p>
<p>Build automated safety testing systems, generalise safety solutions into repeatable frameworks, and write efficient code for safety pipelines and intervention systems.</p>
<p>Maintain a user-oriented perspective by understanding safety needs from user perspectives, validating safety approaches through user research, and serving as a trusted advisor on multimodal safety matters.</p>
<p>Track advances in multimodal safety research, identify relevant state-of-the-art techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users.</p>
<p>Embody our culture and values.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>staff</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$119,800 - $234,700 per year</Salaryrange>
      <Skills>multimodal safety, diffusion models, image generation, video generation, audio generation, safety evaluation frameworks, red-teaming methodologies, automated safety testing systems, safety pipelines, intervention systems, multimodal LLM safety, evaluation frameworks, automated red-teaming, guardrail systems, safety pipelines, user-validated safety decisions</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Microsoft</Employername>
      <Employerlogo>https://logos.yubhub.co/microsoft.ai.png</Employerlogo>
      <Employerdescription>Microsoft is a multinational technology company that develops, manufactures, licenses, and supports a wide range of software products, services, and devices.</Employerdescription>
      <Employerwebsite>https://microsoft.ai</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://microsoft.ai/job/member-of-technical-staff-multimodal-safety-mai-super-intelligence-team-3/</Applyto>
      <Location>New York</Location>
      <Country></Country>
      <Postedate>2026-03-08</Postedate>
    </job>
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