Member Of Technical Staff - Imagine Safety (AI Safety)

TL;DR

Member of Technical Staff - Imagine Safety (AI Safety): Building and scaling critical safety systems and infrastructure for multimodal generative AI (images, video, audio) with an accent on real-time content moderation and risk detection. Focus on architecting robust evaluation frameworks, mitigating safety risks at global scale, and balancing innovation with trustworthiness.

Location: Palo Alto, CA

Salary: $180,000 - $440,000 USD

Company

hirify.global is an AI research and development company focused on creating systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.

What you will do

• Design and implement scalable safety systems for real-time content moderation and safeguard enforcement across images, video, and audio.
• Build infrastructure to monitor and mitigate risks such as bias, deepfakes, and intellectual property misuse at a global scale.
• Develop pipelines and evaluation frameworks for rapid iteration of safety policies in collaboration with researchers and policy teams.
• Architect feedback loops between user interactions and model outputs to continuously improve safety and performance.
• Own the full development cycle of safety features from problem definition and prototyping to deployment and incident response.
• Partner with Imagine engineering and product teams to embed safety into core multimodal features.

Requirements

• Proficiency in Rust with a track record of writing clean, efficient, and scalable code.
• Experience building production-grade trust and safety or content moderation systems for large-scale consumer products.
• Expertise in developing real-time detection systems or data pipelines for high-throughput AI applications.
• Proven ability to deliver robust solutions that maintain high uptime and performance for millions of users.
• Must be located in or able to work from Palo Alto, CA.

Nice to have

• Experience with multimodal generative AI safety in production environments.
• Familiarity with ML classifiers, red-teaming, or adversarial testing for media generation models.
• Background in distributed systems, Kubernetes, and observability tools.
• Previous experience in model alignment or anti-abuse for consumer AI products.

Culture & Benefits

• Flat organizational structure that values initiative, curiosity, and hands-on contribution.
• Fast-paced environment focused on engineering excellence and rigorous prioritization.
• Comprehensive medical, vision, and dental coverage.
• Access to a 401(k) retirement plan.
• Life insurance, short-term, and long-term disability insurance.
• Equity as part of the total rewards package.