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Senior AI Research Scientist - AGI Horizon 2026

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

The Future is Now.

Nexus Horizon AI is at the forefront of the technological singularity. As we approach the 2026 horizon, we are assembling a team of elite minds to redefine the boundaries of Artificial General Intelligence (AGI). We are looking for a visionary Senior AI Research Scientist to lead our core research division, focusing on scalable reasoning, self-supervised learning, and emergent behaviors in neural networks.

Why Join Us?

  • Work on projects that will define the technological landscape of the next decade.
  • Access to state-of-the-art computing infrastructure and unlimited resources.
  • A culture of radical transparency and high-impact collaboration.

We are not just building the future; we are living in it.

Responsibilities

  • Architect and implement novel deep learning architectures targeting AGI milestones.
  • Conduct cutting-edge research in natural language processing, computer vision, and reinforcement learning.
  • Collaborate with cross-functional teams to translate theoretical research into scalable product solutions.
  • Author and publish high-impact research papers in top-tier conferences (NeurIPS, ICML, ICLR).
  • Drive the technical roadmap for the 2026 AI evolution strategy.

Qualifications

  • PhD or Master's degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of experience in machine learning research, preferably within a top-tier tech lab or academic institution.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Proven track record of publishing research in peer-reviewed venues.
  • Experience with Large Language Models (LLMs) and Transformer architectures.
  • Strong problem-solving skills and ability to navigate ambiguity in complex research environments.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision Research AGI LLMs Reinforcement Learning Transformers

Ready to Take This Challenge?

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