Software Engineer, Imagine Safety

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Join xAI's Imagine team as a Product Safety Engineer building the safety systems and infrastructure behind Grok's multimodal media generation (images, video, audio). You'll design scalable safeguards, detection systems, and evaluation frameworks that prevent harm while preserving creativity and user freedom. This is an onsite role in Palo Alto, San Francisco, or New York, shaping how millions of users experience generative media at the frontier of multimodal AI.

• Design and implement scalable safety systems for Grok's media generation platform, including real-time content moderation, risk detection, and safeguard enforcement
• Build infrastructure to measure, monitor, and mitigate safety risks such as harmful content, bias, deepfakes, IP issues, and misuse at global scale
• Develop tools, pipelines, and evaluation frameworks enabling rapid iteration on safety policies with researchers, product, and policy teams
• Architect feedback loops between user interactions, model outputs, and training data to improve safety while maintaining performance and low latency
• Own full-cycle development of safety features from problem definition through deployment, monitoring, and incident response
• Partner with engineering, research, and product teams to embed safety into core features

• 2+ years of professional software engineering experience building and shipping user-facing products
• Proficiency in Rust with a track record of clean, efficient, scalable code
• Experience building production safety, trust & safety, or content moderation systems at scale
• Hands-on expertise with real-time detection systems, data pipelines, or evaluation frameworks for high-throughput AI applications
• Ability to work onsite in Palo Alto, San Francisco, or New York

• Experience with multimodal content safety (images, video, audio) or generative AI safety in production
• Familiarity with machine learning classifiers, safety evaluation, red-teaming, or adversarial testing
• Background in distributed systems, real-time inference serving, Kubernetes, observability tools, or large-scale data infrastructure
• Experience collaborating across engineering, research, and policy teams
• Prior work on content moderation, anti-abuse, model alignment, or responsible AI at consumer AI products