AI Safety, Red Teaming Specialist

This is a fully remote position, open to applicants in India.

📋 Description

• Assess and enhance the safety, security, and robustness of next-generation AI systems.

• Utilize expertise in adversarial AI, LLM security, and AI safety to detect vulnerabilities.

• Create evaluation methodologies and bolster the resilience of large language models against real-world threats.

• Work collaboratively with technical teams to convert security findings into actionable recommendations for improvements in AI safety.

• Record testing methodologies, findings, and best practices through clear technical reports and presentations for both technical and non-technical audiences.

⛳️ Requirements

• A minimum of 2 years of experience in AI Safety, Adversarial Machine Learning, LLM Red Teaming, AI Security, or a related area.

• Practical experience in researching, testing, or uncovering vulnerabilities related to prompt injection, ethical jailbreaks, adversarial attacks, or tool-use exploitation.

• Strong comprehension of contemporary LLM architectures, prompt engineering, and AI safety evaluation methodologies.

• Proven experience in developing structured security assessments, regression testing frameworks, and adversarial evaluation strategies.

• Exceptional analytical, documentation, and communication skills with the capability to clearly explain complex technical findings.

• Ability to work effectively within cross-functional technical teams.

• A Master's or PhD in Computer Science, Cybersecurity, Machine Learning, Artificial Intelligence, or a related field is preferred.

• Contributions to AI security research, open-source AI safety tools, conference presentations, or published research are advantageous.

• Familiarity with AI model evaluation frameworks, prompt engineering techniques, and AI security assessment tools is a plus.

• A background in multidisciplinary AI safety, cybersecurity, or adversarial machine learning projects is beneficial.

🏝️ Benefits

• Comprehensive health and wellness benefits.

• Opportunities for professional development and continuous learning.

• Flexible work environment and a supportive team culture.