Job Description
We are not just building the future; we are defining it. Nexus Future Systems is seeking a visionary Future Tech Lead to spearhead our 2026 Horizon Initiative. This is a unique opportunity to architect the next generation of safe, beneficial, and scalable Artificial General Intelligence (AGI) systems. If you possess a deep understanding of AI alignment, ethics, and the technical demands of the year 2026 and beyond, we want to hear from you.
In this pivotal role, you will bridge the gap between theoretical research and practical engineering, ensuring that our technological advancements remain grounded in human values.
Responsibilities
- Architect the Future: Lead the design and implementation of core AI frameworks aimed at the 2026 technology landscape, focusing on safety and alignment.
- Strategic Vision: Develop long-term strategic roadmaps for AI evolution, anticipating regulatory changes and societal impacts.
- Ethical Integration: Embed ethical guidelines and value alignment into the software development lifecycle (SDLC).
- R&D Leadership: Conduct advanced research in machine learning, causal inference, and interpretability.
- Cross-Functional Collaboration: Partner with product, legal, and policy teams to ensure holistic technological advancement.
- Team Mentorship: Cultivate a high-performance culture, mentoring engineers and researchers in cutting-edge methodologies.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Philosophy, Cognitive Science, or a related technical field.
- Experience: 8+ years of experience in software engineering, machine learning, or AI research, with a proven track record of leading complex projects.
- Technical Expertise: Deep proficiency in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
- AI Alignment: Strong theoretical understanding of AI alignment problems, corrigibility, and value learning.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
- Adaptability: Thrive in a fast-paced, high-uncertainty environment typical of future-tech startups.