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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Research Scientist (AGI)

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are not just predicting the future; we are engineering it. Nexus Horizon Systems is at the forefront of the 2026 technology revolution, specializing in Artificial General Intelligence (AGI). We are seeking a visionary Lead AI Research Scientist to spearhead our research initiatives.

In this pivotal role, you will lead a world-class team in developing scalable, safe, and transformative AI systems. You will tackle the hardest problems in machine learning, from enhancing reasoning capabilities to building multimodal models that understand the world as humans do.

Responsibilities

  • Architect AGI Solutions: Lead the design and implementation of next-generation neural network architectures capable of emergent reasoning.
  • Research Leadership: Drive high-impact research projects that push the boundaries of what is possible in 2026, defining the technical roadmap.
  • Talent Development: Mentor top-tier researchers and engineers, fostering an environment of continuous learning and innovation.
  • Cross-Functional Innovation: Translate complex research findings into practical, scalable technologies for enterprise deployment.
  • Model Optimization: Oversee the training, fine-tuning, and evaluation of large-scale models for optimal performance and efficiency.

Qualifications

  • Education: Ph.D. in Computer Science, AI, or a related quantitative discipline (Master's with significant industry impact considered).
  • Experience: 5+ years of experience in deep learning research, with a proven track record in NLP or LLM development.
  • Technical Mastery: Expert-level proficiency in Python, PyTorch, and distributed training frameworks (Ray, Horovod).
  • Publications: Demonstrated history of publishing in top-tier AI conferences (NeurIPS, ICML, ACL, ICLR).
  • Strategic Vision: Ability to navigate ambiguity and solve complex, open-ended technical challenges with a long-term perspective.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Large Language Models (LLMs) AGI Distributed Systems

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