Job Description
We are pioneering the future of autonomous intelligence. Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead the '2026 Initiative'—a groundbreaking project focused on developing the next generation of cognitive computing systems. If you are passionate about building ethical, scalable, and transformative AI that will define the technological landscape of the next decade, we want to hear from you.
In this role, you will not just write code; you will architect the foundation for the AI systems of tomorrow. You will work in a high-performance environment with top-tier researchers and engineers, pushing the boundaries of what is possible in machine learning and neural networks.
Why Join Us?
- Work on cutting-edge research that impacts billions.
- Competitive compensation and equity packages.
- Flexible remote-first policy with access to state-of-the-art hardware.
Responsibilities
- Architectural Leadership: Design and implement the core neural network architectures for the 2026 Initiative, focusing on efficiency, scalability, and novel cognitive capabilities.
- Model Development: Lead the research and development of proprietary large-scale language models and multimodal AI systems.
- Technical Strategy: Define the technical roadmap, selecting appropriate frameworks (PyTorch, JAX, TensorFlow) and infrastructure (Cloud/AI clusters) to support research goals.
- Ethical AI Governance: Establish and enforce rigorous safety guidelines and ethical frameworks to ensure AI alignment and fairness.
- Team Mentorship: Mentor a team of top-tier machine learning engineers and data scientists, fostering a culture of innovation and continuous learning.
- Cross-Functional Collaboration: Partner with product and engineering teams to translate research breakthroughs into deployable, real-world applications.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related field with a focus on Artificial Intelligence or Machine Learning.
- Experience: 8+ years of experience in software engineering and machine learning, with at least 4 years in a senior architectural or lead engineering role.
- Technical Skills: Deep expertise in deep learning frameworks, distributed computing, and high-performance computing environments. Strong proficiency in Python and C++.
- Innovation: Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or delivering patented, scalable AI products.
- Communication: Excellent ability to communicate complex technical concepts to diverse audiences, including non-technical stakeholders.