Job Description
Are you ready to architect the future of human-machine integration? Nexus Horizon Labs is seeking a visionary Lead AI Research Engineer to spearhead our The 2026 Initiative. We are building the foundational architectures for the next generation of Artificial General Intelligence (AGI) and Quantum Neural Networks.
In this high-impact role, you will bridge the gap between theoretical computer science and scalable engineering. You will work in a world-class R&D environment focused on long-term technological breakthroughs expected to redefine the industry by 2026.
Why Join Us?
We offer unparalleled autonomy, state-of-the-art compute resources, and the opportunity to define the ethical and technical standards of the AI era.
Responsibilities
- Architect AGI Frameworks: Design and implement scalable neural network architectures capable of self-improvement and cross-modal reasoning.
- Quantum Integration: Collaborate with quantum hardware engineers to develop hybrid quantum-classical machine learning models.
- Pioneering Research: Publish high-impact research papers in top-tier conferences (NeurIPS, ICML) and contribute to open-source AI ecosystems.
- Mentorship: Lead a team of elite researchers and engineers, fostering a culture of innovation and scientific rigor.
- Ethical AI Compliance: Establish governance frameworks to ensure AI safety, transparency, and alignment with human values.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related field with a focus on AI/ML.
- Experience: 5+ years of professional experience in deep learning, large language models (LLMs), or reinforcement learning.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing systems (Kubernetes, AWS/GCP).
- Quantum Knowledge: Familiarity with quantum computing concepts (Qiskit, Cirq) is highly preferred.
- Problem Solving: Demonstrated ability to tackle unsolved problems in optimization and natural language understanding.