Staff ML Application Engineer
DragosAbout the role
<div class="content-intro"><p><span class="TextRun SCXW107525881 BCX8" lang="EN-US" data-contrast="none"><span class="NormalTextRun SCXW107525881 BCX8">At Dragos, the mission is personal. The systems we protect deliver the water you drink, power your home, and keep the hospitals your community depends on running. Those critical infrastructure systems that power our civilization around the world are under attack every day by adversaries. When those systems fail, people are </span><span class="NormalTextRun SCXW107525881 BCX8">immediately</span><span class="NormalTextRun SCXW107525881 BCX8"> at risk. </span><span class="NormalTextRun SCXW107525881 BCX8">We are the global leader in </span><span class="NormalTextRun SCXW107525881 BCX8">xOT</span><span class="NormalTextRun SCXW107525881 BCX8"> cybersecurity, combining technology, threat intelligence, and expert services. The people here chose this work because they understand </span><span class="NormalTextRun SCXW107525881 BCX8">what is</span><span class="NormalTextRun SCXW107525881 BCX8"> at stake</span><span class="NormalTextRun SCXW107525881 BCX8">. Here, you will find a remote-first mission-driven team across North America, Europe, the Middle East, and APAC built on authenticity, transparency, and trust. If safeguarding the systems that protect your family, friends, and community is the kind of work that matters to you, you are in the right place.</span></span><span class="EOP Selected SCXW107525881 BCX8" data-ccp-props="{"134233117":false,"134233118":false,"201341983":0,"335551550":1,"335551620":1,"335559685":0,"335559737":0,"335559738":120,"335559739":160,"335559740":360}"> </span></p></div><p><strong><span data-contrast="auto">About the Role</span></strong><span data-contrast="auto">:</span><span data-ccp-props="{}"> </span></p> <p>We're looking for a Machine Learning Application Engineer to join our Engineering team. This role sits at the intersection of data engineering and applied ML. You'll be taking existing model types and putting them to work inside our product and data pipelines. You won't be training models from scratch or managing ML infrastructure, but you will be doing the thoughtful applied work of figuring out <em>which</em> techniques fit <em>which</em> problems, wiring them into our workflows,
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