Senior AI/ML Engineer

<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="none">About the Role</span></strong><span data-ccp-props="{}"> </span></p>
<p><span data-contrast="none">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 </span><em><span data-contrast="none">which</span></em><span data-contrast="none"> techniques fit </span><em><span data-contrast="none">which</span></em><span data-contrast="none"> problems, wiring them into our workflows, and making sure the outputs are reliable and useful.</span><span data-ccp-props="{}"> </span></p>
<p><span data-contrast="none">You'll work closely with AI Engineers, Data Engineers, and product teams to bring ML-driven capabilities into the Dragos platform. Things like clustering network behaviors, classifying assets, and surfacing anomalies that matter for ICS/OT security analysts.</span><span data-ccp-props="{}"> </span></p>
<p><strong><span data-contrast="none">Responsibilities</span></strong><span data-ccp-props="{}"> </span></p>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">Apply clustering, classification, anomaly detection, and other established ML techniques to cybersecurity data problems in the ICS/OT domain.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="none">Integrate ML model outputs into existing data pipelines and product workflows, supporting both batch and near-real-time processing patterns.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="none">Understand model behavior and translate research outputs into reliable pipeline components.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="none">Work with Data Engineers to ensure ML-driven stages of the pipeline have clear data contracts, appropriate observability, and sane failure modes.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="5" data-aria-level="1"><span data-contrast="none">Evaluate open-source and third-party models for fit against specific use cases,  knowing when to apply an existing tool versus when to escalate to a model-building effort.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="6" data-aria-level="1"><span data-contrast="none">Write clean, maintainable Python or Rust that other engineers can reason about, test, and extend.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="7" data-aria-level="1"><span data-contrast="none">Troubleshoot ML component behavior in production to diagnose issues with output quality, data drift, or unexpected edge cases.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="8" data-aria-level="1"><span data-contrast="none">Communicate clearly about what a model is doing, where it's uncertain, and how its outputs should (and shouldn't) be used downstream.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li>
</ul>
<p><strong><span data-contrast="none">Qualifications</span></strong><span data-ccp-props="{}"> </span></p>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">5+ years of software engineering experience, with meaningful time spent working with ML outputs or data pipelines in a production context.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="none">Strong Python skills; SQL proficiency; comfort reading and reasoning about data at scale.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="none">Hands-on experience applying ML techniques including clustering (k-means, DBSCAN, hierarchical), classification, and anomaly detection.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="none">Familiarity with scikit-learn and the surrounding Python ML ecosystem; you don't need to have implemented a neural net, but you should know how to use one responsibly.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="5" data-aria-level="1"><span data-contrast="none">Solid understanding of data pipeline concepts: how data flows, where it gets transformed, what can go wrong, and how to make failures visible.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="6" data-aria-level="1"><span data-contrast="none">Ability to evaluate whether a model's outputs are actually trustworthy for a given use case — not just whether accuracy metrics look good.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="7" data-aria-level="1"><span data-contrast="none">Strong written and verbal communication; comfortable explaining tradeoffs to both technical and non-technical stakeholders.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="8" data-aria-level="1"><span data-contrast="none">Cybersecurity domain knowledge — especially around threat detection, network behavior, or ICS/OT operations is a meaningful plus, but not a prerequisite.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li>
</ul>
<p><strong><span data-contrast="none">Nice to Have</span></strong><span data-ccp-props="{}"> </span></p>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">Experience working with graph-based representations of network topology or asset relationships.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="none">Familiarity with stream processing or event-driven architectures.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="none">Exposure to containerized environments (Docker, Kubernetes) as a consumer/deployer, not necessarily an operator.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li>
</ul>
<p><strong><span data-contrast="auto">Compensation</span></strong><span data-contrast="auto">:</span><span data-ccp-props="{}"> </span></p>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{"335552541":1,"335559683":0,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">Salary: </span><span data-ccp-props="{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335557856":16777215,"335559738":0,"335559739":0}"> $190,000.00</span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335552541":1,"335559683":0,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">Competitive Equity Package </span><span data-ccp-props="{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335557856":16777215,"335559738":0,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335552541":1,"335559683":0,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="none">Comprehensive Benefits Plan</span><span data-ccp-props="{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335557856":16777215,"335559738":0,"335559739":0}"> </span></li>
</ul>
<p><span data-ccp-props="{}"> </span></p>
<p><span data-contrast="none">#LI-JF1 #LI-REMOTE </span> <span data-ccp-props="{}"> </span></p>
<p><span data-ccp-props="{}"><span data-contrast="none">#LI-NH1 #LI-REMOTE</span><span data-ccp-props="{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335557856":16777215,"335559738":240,"335559739":240}"> </span></span></p>
<p> </p><div class="content-conclusion"><p>Dragos is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, state, or local laws. All new hires must pass a background check as a condition of employment.</p></div>