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<source>
  <jobs>
    <job>
      <externalid>4c21f02c-9d8</externalid>
      <Title>Research Scientist (Engineering)</Title>
      <Description><![CDATA[<p>You are an ML Researcher who has a broad view of the generative media space and an update-to-date awareness of new methods in the space. You can spot products and features that are missing in the current market and work backwards to develop new methods to solve customers&#39; problems. Sometimes your work will require entirely novel training or architecture developments. While other times it will require fine-tuning pre-existing models with novel datasets. You are able to consider the expected return on investment of different approaches, and more excited about using research to develop novel products than research for research&#39;s sake.</p>
<p>You will have access to our massive GPU cluster for training and inference. Some core technologies we use include Python, torch, diffusers, and the fal Python SDK. You&#39;ll work alongside a team dedicated to quickly iterating on and deploying new AI breakthroughs. You have work published in ICCV, ICML, Neurips, CVPR.</p>
<p>What we offer at fal includes interesting and challenging work, competitive salary and equity, a lot of learning and growth opportunities, health, dental, and vision insurance (US), regular team events and offsites.</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></Salaryrange>
      <Skills>Python, torch, diffusers, fal Python SDK</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>fal</Employername>
      <Employerlogo>https://logos.yubhub.co/fal.com.png</Employerlogo>
      <Employerdescription>fal is aocial media company that uses AI to generate media.</Employerdescription>
      <Employerwebsite>https://www.fal.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/fal/jobs/4009158009</Applyto>
      <Location>Remote</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
    <job>
      <externalid>f20a5790-b3b</externalid>
      <Title>Applied ML Engineer</Title>
      <Description><![CDATA[<p>You are an ML Engineer who has a broad view of the generative media space and an up-to-date awareness of new methods in the space. You can spot products and features that are missing in the current market and work backwards to develop new methods to solve customers&#39; problems.</p>
<p>Your work will focus on developing, fine-tuning, and operationalizing machine learning models to enhance user experiences. Sometimes your work will require entirely novel training or architecture developments. While other times it will require fine-tuning pre-existing models with novel datasets.</p>
<p>You will have access to our massive GPU cluster for training and inference.</p>
<p>Some core technologies we use include Python, Torch, Diffusers, and the Fal Python SDK.</p>
<p>You&#39;ll work alongside a team dedicated to quickly iterating on and deploying new AI breakthroughs.</p>
<p>Our compensation package includes a salary range of $170,000 - $250,000, plus equity, and a comprehensive benefits package.</p>
<p>We offer interesting and challenging work, a lot of learning and growth opportunities, visa sponsorship, and relocation assistance to San Francisco.</p>
<p>We also provide health, dental, and vision insurance, regular team events, and offsites.</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>mid</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>$170,000 - $250,000</Salaryrange>
      <Skills>Python, Torch, Diffusers, Fal Python SDK</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>fal</Employername>
      <Employerlogo>https://logos.yubhub.co/fal.com.png</Employerlogo>
      <Employerdescription>Fal is a technology company that focuses on developing machine learning models to enhance user experiences.</Employerdescription>
      <Employerwebsite>https://www.fal.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/fal/jobs/4010861009</Applyto>
      <Location>San Francisco</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
  </jobs>
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