Job Description
We are pioneering the infrastructure for the next generation of artificial intelligence. As we approach the pivotal era of 2026, our mission is to ensure that advanced AI systems are not only powerful but safe, reliable, and aligned with human values. We are seeking a visionary Principal AI Safety Engineer to lead our alignment initiatives and define the ethical guardrails for future technologies.
In this high-impact role, you will collaborate with world-class researchers and engineers to mitigate risks associated with Large Language Models (LLMs) and emerging AGI architectures. You will be responsible for designing robust safety mechanisms and conducting adversarial testing to ensure our systems remain beneficial as they scale.
Why Join Us?
We offer competitive compensation, comprehensive benefits, and the opportunity to shape the future of technology. If you are passionate about AI safety and want to work on problems that matter, we want to hear from you.
Responsibilities
- Design Safety Architectures: Architect and implement safety constraints, reward models, and alignment techniques for next-generation AI systems.
- Adversarial Testing: Lead red-teaming exercises and stress-test models to identify and mitigate potential vulnerabilities and biases.
- Policy Development: Contribute to the internal safety guidelines and best practices for AI deployment across the organization.
- Research & Innovation: Stay at the forefront of AI safety research, adapting cutting-edge methodologies to our production systems.
- Model Auditing: Perform rigorous post-deployment audits to ensure safety compliance and continuous improvement.
- Stakeholder Collaboration: Work closely with product teams and external partners to integrate safety considerations into the full development lifecycle.
Qualifications
- Education: PhD in Computer Science, Mathematics, Cognitive Science, or a related technical field (or equivalent practical experience).
- Experience: 5+ years of professional experience in AI/ML research, software engineering, or a related field, with a focus on AI safety or alignment.
- Technical Skills: Proficiency in Python, PyTorch, or TensorFlow; deep understanding of machine learning fundamentals, NLP, and probabilistic modeling.
- Problem Solving: Strong analytical skills with the ability to debug complex systems and devise innovative safety solutions.
- Communication: Excellent written and verbal communication skills, with the ability to explain complex technical concepts to diverse audiences.
- Passion: A deep commitment to the safe development of AI and a proactive mindset towards ethical considerations.