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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/AGI Research Engineer - 2026 Vision

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are a pioneering technology firm dedicated to defining the AI landscape of 2026. We are currently building the next generation of Artificial General Intelligence (AGI) systems capable of autonomous, multi-modal reasoning.

We are seeking a visionary Senior AI/AGI Research Engineer to join our elite R&D division. You will be instrumental in architecting neural architectures that bridge the gap between narrow AI and sentient reasoning. This is a rare opportunity to work on the foundational technologies that will power the autonomous economy of the future.

What you'll do:

  • Lead the research and development of next-generation Transformer and Diffusion models.
  • Optimize model inference latency and accuracy for real-time edge deployment.
  • Design robust training pipelines using distributed computing clusters.
  • Collaborate with interdisciplinary teams to translate theoretical breakthroughs into production APIs.
  • Establish safety and alignment protocols for autonomous agents.

Responsibilities

  • Design and implement novel neural network architectures for complex reasoning tasks.
  • Conduct cutting-edge research in Large Language Models (LLMs) and Reinforcement Learning from Human Feedback (RLHF).
  • Push the boundaries of context window size and memory efficiency.
  • Implement rigorous testing and validation frameworks for model safety and bias mitigation.
  • Stay at the forefront of industry trends to ensure our roadmap remains competitive.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in deep learning, machine learning, or AI research.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Experience with GPU acceleration (CUDA) and high-performance computing.
  • Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR).
  • Strong understanding of ethical AI principles and responsible machine learning practices.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python PyTorch TensorFlow CUDA NLP LLMs AGI Neural Networks Distributed Systems Reinforcement Learning

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