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2026 AI Research Lead

Nexus Horizon
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

The Future is Now. Nexus Horizon is pioneering the technological landscape of 2026. We are seeking a visionary 2026 AI Research Lead to architect the next generation of Artificial General Intelligence (AGI) systems. If you are obsessed with the intersection of quantum computing and neural networks, and you want to define the roadmap for the next decade, this is your opportunity.

As a key leader in our R&D division, you will bridge the gap between theoretical breakthroughs and scalable production systems. You will work in a dynamic, high-performance environment that values radical innovation and technical excellence.

Why Join Us?

  • Work on projects that redefine the boundaries of possibility.
  • Competitive compensation package and equity options.
  • Flexible remote-first policy with a hub in the heart of San Francisco.
  • Access to cutting-edge hardware and quantum research facilities.

Responsibilities

  • Lead the R&D team in designing and implementing breakthrough AI architectures for the 2026 product roadmap.
  • Define technical strategies for integrating emerging technologies like quantum processing units (QPUs) into AI models.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
  • Collaborate with cross-functional teams (product, legal, and hardware) to bring futuristic concepts to market.
  • Stay ahead of global AI trends and publish findings in top-tier academic journals.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
  • 10+ years of experience in machine learning, deep learning, or AI research roles.
  • Proven track record of leading high-performance engineering teams and delivering complex systems.
  • Expert knowledge of Python, PyTorch, TensorFlow, and C++.
  • Experience with large language models (LLMs) and generative AI frameworks.
  • Strong understanding of ethical AI principles and safety protocols.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python PyTorch TensorFlow C++ Quantum Computing Research Leadership

Ready to Take This Challenge?

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