Design and implement scalable safety systems for Grok’s media generation platform, including real-time content moderation, risk detection, and safeguard enforcement for images, video, and audio. - Build infrastructure to measure, monitor, and mitigate safety risks such as harmful content, bias, deepfakes, intellectual property issues, and misuse at global scale. - Develop tools, pipelines, and evaluation frameworks that enable rapid iteration on safety policies in collaboration with researchers, product, and policy teams. - Architect robust feedback loops between user interactions, model outputs, and training data to continuously improve safety while maintaining high performance and low latency. - Own full-cycle development of safety features: from problem definition and prototyping to deployment, monitoring, incident response, and long-term refinement. - Partner closely with the Imagine engineering, research, and product teams to embed safety into core features and deliver delightful yet responsible user experiences. ### BASIC QUALIFICATIONS:
Proficiency in Rust, with a strong track record of writing clean, efficient, maintainable, and scalable code. - Experience designing and building production safety, trust & safety, or content moderation systems for consumer-facing products at scale. - Hands-on expertise developing real-time detection systems, data pipelines, or evaluation frameworks for high-throughput AI applications. - Proven ability to deliver robust, reliable solutions that reach millions of users while maintaining high standards of uptime and performance. - Strong problem-solving skills and a passion for turning complex safety challenges into practical, high-impact engineering solutions. - Deep enthusiasm for responsible AI development and a commitment to building systems that advance humanity’s understanding while protecting users. ### PREFERRED SKILLS AND EXPERIENCE:
Experience with multimodal content safety (images, video, audio) or generative AI safety in production environments. - Familiarity with machine learning classifiers, safety evaluation, red-teaming, or adversarial testing for media generation models. - Background in distributed systems, real-time inference serving, Kubernetes, observability tools, or large-scale data infrastructure. - Track record collaborating across engineering, research, and policy teams to ship safety-critical features quickly and effectively. - Previous work on content moderation, anti-abuse, model alignment, or responsible AI at consumer AI products. ### COMPENSATION AND BENEFITS:
$180,000 - $440,000 USD
Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. For details on data processing, view our**Recruitment Privacy Notice.*
