AI Safety Engineer

<p><strong>About Hark</strong></p> <p>Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.</p> <p>We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.</p> <p>To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.</p> <p><strong>About the Role&nbsp;</strong></p> <p>We're hiring a Member of Technical Staff (Safety Generalist) to join our Safety team. This is a build-and-operate role: you'll design and ship classifiers, pipelines, and tooling that detect and respond to harmful content and behavior on the platform — and then own those systems in production. You'll work closely with engineering, policy, and leadership to define what "safe" looks like at Hark and build the infrastructure to enforce it.</p> <p>This is not a pure ML role and not a pure ops role. We're looking for someone who can do both.</p> <p><strong>Responsibilities</strong></p> <ul> <li>Design, train, and ship content moderation classifiers and detection pipelines.</li> <li>Own safety systems end-to-end: from model development through production monitoring and incident response.</li> <li>Investigate abuse patterns and translate findings into durable technical mitigations.</li> <li>Partner with policy and legal to operationalize safety standards into scalable systems.</li> <li>Contribute to the safety roadmap and help define what we build next.</li> </ul> <p><strong>Requirements</strong></p> <ul> <li>3–7 years of experience in trust &amp; safety, content moderation, or a closely related field.</li> <li>Hands-on experience building and shipping ML classifiers or detection systems (not just running them).</li> <li>Comfort operating production systems — you've held a pager, triaged incidents, and shipped fixes under pressure.</li> <li>Strong problem-solving instincts and the ability to work across ambiguous, high-stakes problems.</li> <li>Genuine motivation to work on safety problems — you care about why this work matters.</li> </ul> <p><strong>Bonus Qualifications</strong></p> <ul> <li>Experience at a T&amp;S-focused company (Cinder, Hive AI, Thorn, Modulate, Discord Safety, etc.).</li> <li>Familiarity with multimodal content (text, voice, image) moderation.</li> <li>Background in CSAM detection, integrity engineering, or platform abuse.</li> </ul> <h3><strong>Compensation</strong></h3> <p>The US base salary range for this full-time position is between $150,000 - $300,000 annually.</p> <p>The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.</p>