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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Researcher - 2026 Horizon

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join the Architects of 2026
We are seeking a visionary Lead AI Researcher to define the technological landscape of the year 2026. Nexus Future Systems is pioneering next-generation artificial general intelligence (AGI) and quantum-enhanced neural networks. You will be at the forefront of a paradigm shift, working on projects that will fundamentally alter human-computer interaction and space exploration capabilities.

In this role, you will not just predict the future; you will engineer it. You will lead a high-performance team of engineers and data scientists, ensuring our algorithms are scalable, ethical, and ready for deployment in the 2026 ecosystem.

Responsibilities

  • Lead the research and development of scalable AGI architectures targeting deployment by 2026.
  • Architect and optimize quantum machine learning models for real-time data processing.
  • Define the ethical guidelines and safety protocols for autonomous systems in 2026.
  • Collaborate with cross-functional teams to integrate AI solutions into consumer hardware and orbital infrastructure.
  • Mentor junior researchers and PhD candidates in advanced neural network theory.
  • Publish cutting-edge research papers and contribute to open-source AI frameworks.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • Minimum of 5 years of experience in machine learning research and large-scale system design.
  • Proven expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum computing libraries (Qiskit, Cirq).
  • Strong programming skills in Python and C++.
  • Experience with NLP, Computer Vision, or Reinforcement Learning is highly preferred.
  • Demonstrated ability to think critically about AI ethics and alignment.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Quantum Computing Python C++ Neural Networks AGI Research

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