Job Description
Join Nexus Innovations at the forefront of responsible AI development. As an AI Safety Engineer, you'll design and implement safeguards for next-generation AI systems, ensuring ethical alignment and robust safety protocols. Work with our elite team of researchers to pioneer solutions that prevent catastrophic failures in autonomous systems, generative AI, and quantum-powered applications. Shape the future of technology while prioritizing human values.
Responsibilities
- Develop and validate AI safety frameworks for LLMs and autonomous systems
- Conduct adversarial testing and red-teaming exercises for AI models
- Design fail-safe mechanisms for quantum-AI hybrid systems
- Collaborate with cross-functional teams to integrate safety protocols into development lifecycle
- Research emerging threats in AI capabilities and propose mitigation strategies
- Document safety standards and contribute to open-source safety initiatives
Qualifications
- Masters or PhD in Computer Science, AI, or related field
- 3+ years in AI safety, ML engineering, or security research
- Expertise in adversarial machine learning and model validation
- Strong programming skills in Python and frameworks (PyTorch/TensorFlow)
- Experience with quantum computing concepts or NLP architectures
- Deep understanding of ethical AI frameworks (e.g., EU AI Act, NIST RMF)
- Published research in AI safety or related conferences preferred