Join OpenAI as a Lead Research Engineer/Scientist in Cyber to pioneer advancements in AI security and defend against emerging cyber threats. Collaborate with top talents to develop robust, safe AI systems that shape the future of technology.

At OpenAI, we're at the forefront of AI innovation, and our commitment to safety is paramount. As a Lead Research Engineer/Scientist in Cyber, you'll spearhead initiatives to safeguard AI models from sophisticated cyber threats, ensuring our technologies remain secure and trustworthy.

Your role will involve designing novel defenses against adversarial attacks, conducting threat assessments on AI systems, and integrating security best practices into our research pipeline. You'll work closely with interdisciplinary teams, including AI researchers, ethicists, and policy experts, to anticipate and mitigate risks in real-world deployments.

Key responsibilities include:

• Leading research projects on AI robustness, privacy-preserving techniques, and secure federated learning.
• Developing prototypes and tools to simulate cyber attacks on AI infrastructure.
• Mentoring junior engineers and contributing to OpenAI's publications and open-source efforts.
• Collaborating on strategic initiatives to align cybersecurity with our mission of safe AGI.

This position offers the chance to make a lasting impact on the AI landscape, tackling challenges that will define the next decade of technology. If you're passionate about blending cutting-edge AI with cybersecurity, join us in building a safer future.

• PhD in Computer Science, Electrical Engineering, or a related field, with a focus on cybersecurity or AI.
• 5+ years of experience in research or engineering roles involving AI safety, machine learning security, or cyber threat modeling.
• Proven track record of publishing in top conferences (e.g., USENIX Security, IEEE S&P) or leading impactful projects in AI cybersecurity.
• Proficiency in Python, machine learning frameworks (e.g., PyTorch, TensorFlow), and tools for vulnerability analysis.
• Strong understanding of adversarial machine learning, encryption, and network security principles.
• Excellent problem-solving skills and ability to lead cross-functional teams in a fast-paced environment.
• Experience with large-scale data processing and simulation environments is a plus.

• Competitive monthly salary with equity options and performance bonuses.
• Comprehensive health, dental, and vision insurance for you and your family.
• Generous paid time off, including parental leave and wellness days.
• Professional development stipend for conferences, courses, and certifications.
• Remote work flexibility with access to state-of-the-art home office setups.
• Opportunities to collaborate with world-class researchers and influence AI policy.
• Snacks, meals, and team-building events at OpenAI hubs.