AI Safety Engineer

About Hark 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. 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. 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.

About The Role

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.

This is not a pure ML role and not a pure ops role. We're looking for someone who can do both.

Responsibilities

Design, train, and ship content moderation classifiers and detection pipelines. Own safety systems end-to-end: from model development through production monitoring and incident response. Investigate abuse patterns and translate findings into durable technical mitigations.

Partner with policy and legal to operationalize safety standards into scalable systems. Contribute to the safety roadmap and help define what we build next.

Requirements

3–7 years of experience in trust safety, content moderation, or a closely related field. Hands-on experience building and shipping ML classifiers or detection systems (not just running them). Comfort operating production systems — you've held a pager, triaged incidents, and shipped fixes under pressure.

Strong problem-solving instincts and the ability to work across ambiguous, high-stakes problems. Genuine motivation to work on safety problems — you care about why this work matters.

Qualifications

). Familiarity with multimodal content (text, voice, image) moderation. Background in CSAM detection, integrity engineering, or platform abuse.

Compensation

The US base salary range for this full-time position is between $150,000 - $300,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience.

package may also include additional components/

Benefits

depending on the specific role. This information will be shared if an employment offer is extended.