Red Team Engineer

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🔥 41 minutes ago

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Gray Swan

11 - 50 employees

Founded 2023

🤖 Artificial Intelligence

🔒 Cybersecurity

☁️ SaaS

Artificial Intelligence • Cybersecurity • SaaS

Gray Swan is an AI security company that builds a research-backed platform to protect AI deployments across the entire lifecycle, offering input/output filtering, continuous monitoring, automated vulnerability testing, and enterprise-focused red-teaming services. The company combines frontier research, benchmarks, and large-scale red-team competitions to discover emerging attacks and deliver adaptive, integrable protections for AI agents, models, and connected tools. Gray Swan’s products and services are aimed at enterprises, AI labs, and security researchers seeking pre-deployment assessments, post-deployment monitoring, and compliance-ready defenses.

📋 Description

• Design new challenges and adversarial scenarios for ongoing and upcoming Arena competitions • Work red teaming engagements with external clients, covering areas like prompt injection, tool use, and agent exploitation • Use Slack, Linear, our Arena design editor, and AI tools to deliver red-teaming results on time and with high quality • Build internal tools and processes for the Arena (e.g., cheating detection) and support operational tasks like break verification and prize distribution. • Work alongside Product and Engineering teams to create realistic scenarios that highlight attack surfaces in frontier systems • Help shape the future of Gray Swan Arena with novel ideas and challenge types

🎯 Requirements

• 1+ years of experience in AI red teaming, adversarial ML, or related security research • Organized and comfortable working independently across multiple concurrent engagements • Proven ability to convey technical ideas in accessible reports • Comfortable with quick pivots and changing priorities. • Experience as a Gray Swan Arena competitor is a plus. • Background in traditional security research, CTFs, or penetration testing. • Experience with AI red teaming beyond LLM prompt injection • Degree or experience equivalent in Computer Science or related field • Familiarity with multimodal attack surfaces • Coding experience for automating or scaling test cases

🏖️ Benefits

• 401k with up to 4% matching • 28 days annual leave (vacation + holidays) • Health, dental, and vision coverage • Catered lunches (Pittsburgh office) • Flexible work arrangements • Visa sponsorship available for exceptional candidates

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