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Job Opening

HackerOne logo

Staff Software Engineer, Applied AI

HackerOne · Seattle, WA · Posted 9 days ago

hybridic
8+ yrs expPythonLLMsGenerative AIMachine LearningTensorFlowPyTorchHugging Face TransformersMLOps

Shape the architecture of HackerOne's autonomous AI security agent "Hai," building agents that reason, act, and learn to find and fix vulnerabilities.

STAFF SOFTWARE ENGINEER, APPLIED AI

REMOTE LOCATION: SEATTLE, WA

At HackerOne, we’re advancing a new era of AI-powered offensive security. As a Staff AI Engineer, you’ll help shape the evolution of our autonomous HAI platform, driving the integration of advanced AI and agentic frameworks into HackerOne’s products.

You will build intelligent security agents that reason, act, and learn — helping security teams identify, validate, and remediate vulnerabilities faster than ever. This is a high-impact technical role, reporting to the VP, AI Engineering, where you will architect the systems and frameworks that power the next generation of AI-driven vulnerability discovery.

At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a role targeted for candidates within ~50 miles of Seattle, WA. We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together – fostering collaboration, connection, and in-person moments that enrich our culture – while still preserving the benefits of remote work. Must be able and willing to come to the office once per week (typically Thursdays).

PRIMARY RESPONSIBILITIES

Success in the Staff AI Engineer role will be accomplished by delivering on the responsibilities below in alignment with the Talent Principles that define how we work at HackerOne.

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Related roles

There are 14 open roles at HackerOne right now. This role is one of 251 Software Engineer openings in Seattle, WA and centers on Llms, Generative AI, Machine Learning, and Tensorflow.

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