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AI Architect (2026 Initiative)

Quantum Horizons
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to architect the future of intelligence?

Quantum Horizons is pioneering the AI Architect (2026 Initiative), a bold project aimed at developing General Artificial Intelligence capable of autonomous reasoning and complex problem-solving. We are looking for visionary engineers to build the foundational neural architectures that will define the technological landscape of the decade.

In this role, you won't just maintain models; you will define their evolution. You will work at the intersection of deep learning, cognitive science, and next-gen hardware integration to create systems that learn, adapt, and operate beyond current paradigms.

Why Join Us?
We offer competitive equity packages, unlimited PTO, and the chance to work on projects that have a tangible impact on humanity's trajectory.

Responsibilities

  • Design and implement cutting-edge neural architectures for the 2026 Initiative, focusing on scalability and energy efficiency.
  • Lead the research and development of multi-modal AI systems capable of integrating text, vision, and quantum feedback loops.
  • Collaborate with cross-functional teams including quantum physicists and data ethicists to ensure robustness and safety in autonomous agents.
  • Mentor a team of junior engineers and researchers, fostering a culture of innovation and technical excellence.
  • Optimize model inference speeds for deployment on next-gen edge devices and quantum processors.
  • Conduct rigorous testing and validation of AI behaviors to mitigate hallucinations and ensure alignment with human values.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, Physics, or a related quantitative field.
  • 10+ years of experience in machine learning engineering, with at least 5 years in a leadership or architect role.
  • Deep expertise in deep learning frameworks (PyTorch, TensorFlow) and proficiency in C++ for high-performance computing.
  • Experience with quantum computing libraries (Qiskit, Cirq) or a strong understanding of quantum algorithms.
  • Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR).
  • Exceptional problem-solving skills and the ability to navigate ambiguity in emerging technology landscapes.

Required Skills

Machine Learning Deep Learning Python C++ Quantum Computing Neural Networks PyTorch TensorFlow NLP Computer Vision System Architecture

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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