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<source>
  <jobs>
    <job>
      <externalid>2a2d718a-f65</externalid>
      <Title>Senior Software Engineer, AI Platform and Enablement</Title>
      <Description><![CDATA[<p><strong>About the Role</strong></p>
<p>We&#39;re building a next-generation AI-powered platform and web application for creating audio and video content quickly and easily. This involves developing a revolutionary way to record, transcribe, edit, and mix audio and video on the web using state-of-the-art AI models,a challenge that requires solving complex technical problems. We&#39;re hiring a senior engineer to join our AI Platform and Enablement team. The ideal candidate thrives in a fast-moving, high-ownership environment and is comfortable navigating the ambiguity of bringing research work into an established product.</p>
<p><strong>About the Team</strong></p>
<p>The team’s objective is to support integrating cutting-edge first-party models (developed by our in-house AI Research team) and third-party/open source AI models into the Descript product.</p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Build, maintain, and standardize third-party model integrations, including consulting for other engineering teams with AI model integration needs</li>
</ul>
<ul>
<li>Design, implement, and maintain our AI infrastructure supporting our machine learning life cycle, including data ingestion pipelines, training developer experience and infrastructure, evaluation frameworks, and deployments / GPU infrastructure</li>
</ul>
<ul>
<li>Collaborate with Product Managers, Research Engineers, and AI Researchers to understand their infrastructure needs and ensure our AI systems are robust, scalable, and efficient</li>
</ul>
<ul>
<li>Optimise and scale our models and algorithms for efficient inference</li>
</ul>
<ul>
<li>Deploy, monitor, and manage AI models in production</li>
</ul>
<p><strong>What You Bring</strong></p>
<ul>
<li>Experience in deploying and managing AI models in production</li>
</ul>
<ul>
<li>Experience with the tools of large volume data pipelines like spark, flume, dask, etc.</li>
</ul>
<ul>
<li>Familiarity with cloud platforms (AWS, Google Cloud, Azure) and container technologies (Docker, Kubernetes).</li>
</ul>
<ul>
<li>Knowledge of DevOps and MLOps best practices</li>
</ul>
<ul>
<li>Strong problem-solving abilities and excellent communication skills.</li>
</ul>
<p><strong>Benefits</strong></p>
<ul>
<li>Generous healthcare package</li>
</ul>
<ul>
<li>401k matching program</li>
</ul>
<ul>
<li>Catered lunches</li>
</ul>
<ul>
<li>Flexible vacation time</li>
</ul>
<p><strong>Fun fact about me: I love pineapple on pizza.</strong></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>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$180,000 - $286,000/year</Salaryrange>
      <Skills>Experience in deploying and managing AI models in production, Experience with the tools of large volume data pipelines like spark, flume, dask, etc., Familiarity with cloud platforms (AWS, Google Cloud, Azure) and container technologies (Docker, Kubernetes), Knowledge of DevOps and MLOps best practices, Strong problem-solving abilities and excellent communication skills</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Descript</Employername>
      <Employerlogo>https://logos.yubhub.co/descript.com.png</Employerlogo>
      <Employerdescription>Descript is building a simple, intuitive, fully-powered editing tool for video and audio. It has 150 employees and is backed by OpenAI, Andreessen Horowitz, Redpoint Ventures, and Spark Capital.</Employerdescription>
      <Employerwebsite>https://descript.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/descript/jobs/7580335003</Applyto>
      <Location>San Francisco, CA</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
  </jobs>
</source>