Job Description
Pioneering the technological landscape of 2026 requires more than just code; it requires vision. At Nexus Horizon Labs, we are on the cusp of defining the next era of human-computer interaction. We are seeking a visionary AI Research Scientist to lead our core initiative in Generative Artificial General Intelligence (AGI).
In this high-impact role, you will be responsible for designing the algorithms that will power the next generation of autonomous systems, ensuring they are not only capable but also aligned with human values. You will work in a state-of-the-art facility in the heart of San Francisco's tech district, collaborating with the brightest minds in the industry to bridge the gap between theoretical AI and practical, real-world application in 2026.
In this high-impact role, you will be responsible for designing the algorithms that will power the next generation of autonomous systems, ensuring they are not only capable but also aligned with human values. You will work in a state-of-the-art facility in the heart of San Francisco's tech district, collaborating with the brightest minds in the industry to bridge the gap between theoretical AI and practical, real-world application in 2026.
Responsibilities
- Architect and implement cutting-edge deep learning models designed for the infrastructure of 2026.
- Collaborate with cross-functional teams to translate theoretical research into scalable production systems.
- Lead the exploration of Quantum-AI hybrid algorithms to solve complex computational problems.
- Mentor junior researchers and contribute to the company’s open-source intellectual property.
- Stay ahead of global trends in AI ethics, safety, and regulatory compliance.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- 5+ years of experience in deep learning, natural language processing, or reinforcement learning.
- Strong proficiency in Python, PyTorch, and TensorFlow.
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR).
- Experience with large-scale distributed computing systems.