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Member of Technical Staff - Imagine Safety

Palo Alto, CA💼 Full-time💰 $180,000–$180,000🗓 2026-06-03 → 2026-07-31

Core

Building critical safety systems and infrastructure to ensure Grok's multimodal generation capabilities (images, video, audio) are responsibly deployed while preserving creativity.

Role type

Product Safety Engineer (Multimodal AI)

Builds

Scalable safety systems, detection systems, evaluation frameworks, and feedback loops for Grok's media generation platform.

Domain

Generative AI, Multimodal Media, Content Safety

Deliverable

production ML models | product features | infrastructure

Required skills

Rust, production safety/trust & safety systems, real-time detection systems, data pipelines, evaluation frameworks, high-throughput AI applications, robust solution delivery, complex problem solving

Preferred skills

multimodal content safety, generative AI safety, machine learning classifiers, safety evaluation, red-teaming, adversarial testing, distributed systems, real-time inference serving, Kubernetes, observability tools, large-scale data infrastructure, cross-functional collaboration, content moderation, anti-abuse, model alignment

Technologies

Rust, Kubernetes, observability tools

Responsibilities

Design and implement scalable safety systems for real-time content moderation and risk detection; Build infrastructure to measure, monitor, and mitigate safety risks like harmful content, bias, deepfakes, and IP issues; Develop tools and pipelines for rapid iteration on safety policies; Architect feedback loops between user interactions, model outputs, and training data; Own full-cycle development of safety features from prototyping to deployment and monitoring; Partner with engineering, research, and product teams to embed safety into core features.

Seniority

Mid-to-Senior, hands-on IC

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