Job Description
<p>Join Nexus Future Systems, a pioneer in next-generation artificial intelligence, as we prepare for the pivotal year of 2026. We are seeking a visionary <strong>Senior AI Alignment Engineer</strong> to lead our efforts in ensuring the safety, reliability, and ethical deployment of advanced generative models. In this role, you will be at the forefront of defining the ethical guardrails that will govern the AI landscape for the next decade.</p><p>As we transition into an era of autonomous agents and ubiquitous AI, your work will be critical in aligning complex neural networks with human intent and safety protocols. If you are passionate about the future of technology and possess the technical depth to tackle the hardest problems in AI safety, we want to hear from you.</p><p><strong>Why Join Us?</strong></p><ul><li>Work on the cutting edge of AGI safety.</li><li>Competitive compensation and equity packages.</li><li>Flexible remote-first hybrid work culture.</li></ul>
Responsibilities
- <ul><li>Develop and implement rigorous safety protocols for large-scale language models and autonomous agents.</li><li>Design adversarial testing frameworks to identify and mitigate vulnerabilities in AI systems before deployment.</li><li>Collaborate with cognitive scientists and ethicists to define value-aligned reward functions.</li><li>Monitor real-world AI performance and iterate on safety mitigations based on post-deployment data.</li><li>Lead research initiatives into interpretability and explainability of deep learning architectures.</li><li>Mentor junior engineers and researchers in AI safety best practices.</li></ul>
Qualifications
- <ul><li>PhD or Master's degree in Computer Science, Machine Learning, Cognitive Science, or a related field.</li><li>Minimum of 5 years of experience in machine learning, deep learning, or AI research.</li><li>Proven experience with Reinforcement Learning from Human Feedback (RLHF) or Constitutional AI methods.</li><li>Strong proficiency in Python, PyTorch, or TensorFlow.</li><li>Deep understanding of NLP, transformer architectures, and probabilistic modeling.</li><li>Excellent written and verbal communication skills for cross-disciplinary collaboration.</li><li>Passion for the ethical implications of artificial general intelligence.</li></ul>