Job Description
About Nexus Horizon Labs
We are the architects of tomorrow. Founded with a singular mission to achieve Artificial General Intelligence (AGI) by 2026, we are a premier research organization pushing the boundaries of what is possible in machine reasoning and autonomous systems. We are seeking visionary minds to join our elite team and shape the future of intelligent technology.
The Role
We are looking for a Senior AI Research Scientist to spearhead our initiatives in next-generation neural architectures. In this high-impact role, you will not just build models; you will define the ethical and technical frameworks for how AGI interacts with the world. You will work at the intersection of theoretical research and practical application, ensuring our systems are safe, scalable, and transformative.
Why Join Us?
- Work on cutting-edge problems that will define the industry for the next decade.
- Competitive compensation and equity packages.
- Flexible remote-first culture with access to world-class research facilities in San Francisco.
- Unlimited PTO and comprehensive health benefits.
Responsibilities
- Lead the research and development of proprietary AI models focused on reasoning, planning, and multimodal learning capabilities.
- Translate theoretical breakthroughs into scalable, production-ready code and infrastructure.
- Establish rigorous standards for AI safety, bias mitigation, and responsible deployment in high-stakes environments.
- Collaborate with cross-functional teams including software engineers, ethicists, and product designers.
- Publish high-impact research papers and present findings at top-tier global conferences (NeurIPS, ICML, ICLR).
- Mentor junior researchers and foster a culture of innovation, curiosity, and technical excellence.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a specialization in Artificial Intelligence or Machine Learning.
- 5+ years of professional experience in deep learning, natural language processing, or reinforcement learning.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Proven track record of publishing in top-tier peer-reviewed conferences or journals.
- Strong understanding of large language models (LLMs), transformer architectures, and their limitations.
- Demonstrated ability to think critically about the societal impact of AI technologies.