Research Engineering Manager, Responsible Frontier AI Research

Highlights

• Lead engineering for automated jailbreak discovery and mitigation platforms.
• Build defenses helping AI agents operate safely on the open web.
• Develop evaluations for CBRN and harmful manipulation risks.

Ideal candidate

Adaptable engineering leader passionate about responsible frontier AI who thrives in fast-moving research, balancing hands-on technical direction with coaching and scaling reliable infrastructure for safety-critical work.

Requirements

• Experience leading teams working on AI safety, security, or responsible AI research (e.g., adversarial robustness, red teaming, safety evaluations, or mitigations for frontier models).
• Experience with automated red teaming or jailbreak discovery, LLM-based autoraters and evaluation design, safety classifiers or probes, prompt injection and agent security, or evaluation of severe-harm risks such as CBRN or Harmful Manipulation.
• Master's degree or PhD in Engineering, Computer Science, or a related technical field with a focus on adversarial machine learning or AI/ML security.
• Track record of research or engineering achievements, such as publications in peer-reviewed venues, open-source projects, or public benchmarks.