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Lead AI Research Scientist - AGI & Future Tech (2026)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

We are building the cognitive infrastructure for the year 2026 and beyond. Nexus Horizon Labs is seeking a visionary Lead AI Research Scientist to spearhead our breakthrough research into Artificial General Intelligence (AGI) and autonomous systems.

In this pivotal role, you will define the technical roadmap for our next-generation neural architectures. You will work at the intersection of theoretical computer science and applied engineering, solving problems that define the future of human-machine interaction. This is not just a job; it is an opportunity to be at the forefront of a technological revolution that will reshape the world.

Why join us?

  • Work with a world-class team of researchers and engineers.
  • Access to cutting-edge compute resources and proprietary datasets.
  • Competitive compensation and equity packages.
  • The chance to define the standards for AI in the 2026 era.

Responsibilities

  • Architect and develop novel deep learning algorithms focused on reasoning, planning, and memory.
  • Lead high-impact research initiatives aimed at achieving AGI milestones by 2026.
  • Collaborate with product engineering teams to translate theoretical models into scalable production systems.
  • Mentor and guide a team of junior researchers and PhD candidates.
  • Present research findings at top-tier international conferences and publish peer-reviewed papers.

Qualifications

  • Ph.D. in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field.
  • 5+ years of experience in research and development within top-tier tech companies or academic institutions.
  • Deep expertise in Deep Learning, Reinforcement Learning, and Natural Language Processing (NLP).
  • Strong track record of publications in venues such as NeurIPS, ICML, ICLR, or ACL.
  • Experience with large-scale distributed training and model optimization.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python PyTorch TensorFlow Research AGI NLP Reinforcement Learning

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