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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: AGI Research Engineer

Nexus Horizons
San Francisco
Estimated Salary
USD 180.000 – USD 320.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are building the foundational infrastructure for the year 2026. Nexus Horizons is seeking a visionary Senior AI Architect to lead our breakthrough research into Artificial General Intelligence (AGI). If you are passionate about the intersection of machine learning, ethical AI, and scalable systems, this is your opportunity to define the future.

In this role, you will move beyond standard machine learning models to architect the next generation of self-improving neural networks. You will work in a high-performance environment where innovation is not just encouraged, but required. Join us in shaping the intelligence that will power the world in 2026 and beyond.

Responsibilities

  • Design and architect scalable, high-performance neural architectures for AGI systems.
  • Lead the research and development of next-generation Large Language Models (LLMs) and multimodal agents.
  • Implement and optimize distributed training pipelines to handle exabytes of data.
  • Establish frameworks for AI safety, alignment, and interpretability.
  • Mentor a team of top-tier researchers and engineers to foster a culture of excellence.
  • Publish cutting-edge research and contribute to open-source AI communities.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of experience in machine learning research or engineering at top-tier tech firms.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR).
  • Experience with reinforcement learning, causal inference, or formal verification methods.
  • Strong understanding of GPU optimization and cloud infrastructure (AWS/GCP/Azure).

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Reinforcement Learning Cloud Computing CUDA Distributed Systems

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