Member of Technical Staff (Imagine Safety)

Join the Imagine team, where you'll play a crucial role in redefining AI-driven media experiences. As a Product Safety Engineer, you'll design and implement scalable safety systems for Grok's media generation platform, ensuring a balance between rapid innovation and rigorous safety. Your work will directly impact how millions of users experience generative media, making it a unique opportunity to make a lasting impact in the field 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 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.
• Proficiency in Rust, with a strong track record of writing clean, efficient, maintainable, and scalable code
• 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
• Proven ability to deliver robust, reliable solutions that reach millions of users while maintaining high standards of uptime and performance
• 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
• 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