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AI Safety Research Engineer — Evaluation & Tools

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Menloparkintelligence
Full Time position
Listed on 2026-07-16
Job specializations:
  • IT/Tech
    AI Evaluation, Cybersecurity, AI Engineer (Applied/Software)
Job Description & How to Apply Below

AI Safety Researcher

Research

Full-time

Actively Hiring

Conduct cutting-edge research on AI safety, focusing on adversarial robustness, interpretability, and alignment. Publish findings and contribute to safety tools.

Requirements
  • • PhD or equivalent experience in AI/ML, computer science, or related field
  • • Strong publication record in AI safety, robustness, or related areas
  • • Experience with red teaming or adversarial testing of AI systems
  • • Proficiency in Python and ML frameworks (PyTorch, Tensor Flow)
Security Engineer

Full-time

Actively Hiring

Build and maintain secure infrastructure for AI model evaluation and deployment. Design security controls, implement monitoring systems, and respond to incidents.

Requirements
  • • 5+ years of experience in security engineering or related field
  • • Deep understanding of application security, cloud security, and cryptography
  • • Experience with infrastructure-as-code (Terraform, Cloud Formation)
  • • Familiarity with AI/ML systems and their unique security challenges
Red Team Specialist

Operations

Remote

Full-time

Actively Hiring

Lead adversarial testing campaigns against frontier AI models. Develop novel jailbreak techniques, identify security vulnerabilities, and assess misuse potential.

Requirements
  • • Extensive experience in offensive security, penetration testing, or red teaming
  • • Deep understanding of LLM capabilities and limitations
  • • Creative problem-solving and adversarial thinking
  • Strong communication skills for reporting findings
Research Engineer

Full-time

Actively Hiring

Build evaluation frameworks, benchmarks, and tools for AI safety research. Collaborate with researchers to translate ideas into production-ready systems.

Requirements
  • • Strong software engineering skills with Python
  • • Experience building ML infrastructure or research tooling
  • • Familiarity with AI safety concepts and evaluation methodologies
  • • Ability to work at the intersection of research and engineering
Policy & Governance Lead

Policy

Washington DC / Remote

Full-time

Actively Hiring

Shape AI safety policy, contribute to standards development, and engage with government agencies. Translate technical research into actionable policy recommendations.

Requirements
  • • Experience in AI policy, technology policy, or related field
  • • Strong understanding of AI capabilities and safety challenges
  • • Excellent writing and communication skills
    • Existing relationships with policymakers or standards bodies preferred
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