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Lead Research Engineer: Artificial General Intelligence (AGI) & Future Tech

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

Job Description

We are seeking a visionary Lead Research Engineer to join our elite team at Nexus Horizon. As we pioneer the technological landscape of 2026 and beyond, you will play a pivotal role in designing, developing, and deploying the next generation of Artificial General Intelligence (AGI) systems. Our mission is to bridge the gap between current machine learning capabilities and sentient, safe, and beneficial AI.

If you are passionate about the alignment problem, possess deep mathematical intuition, and want to build the future of technology, we want to hear from you.

Responsibilities

  • Design and implement novel architectures for AGI systems, focusing on reasoning, planning, and adaptability.
  • Lead the research and development of safety and alignment protocols to ensure AI systems remain beneficial and controllable.
  • Collaborate with cross-functional teams of neuroscientists, ethicists, and software engineers to integrate multimodal understanding into core models.
  • Publish high-impact research papers in top-tier conferences (NeurIPS, ICML, ICLR) and contribute to open-source communities.
  • Mentor junior researchers and establish technical standards for the AI research department.
  • Conduct rigorous testing and validation of models in simulated and real-world environments.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, Physics, or a related field with a focus on AI/ML.
  • 10+ years of professional experience in Machine Learning, Deep Learning, or Cognitive Science.
  • Proven track record of leading complex research projects or holding key engineering roles in AI labs.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of large language models (LLMs), transformers, and reinforcement learning.
  • Strong mathematical background in linear algebra, probability, and statistics.

Required Skills

Artificial General Intelligence Machine Learning Deep Learning NLP Reinforcement Learning Python PyTorch Transformer Architecture AI Safety Research Leadership

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