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AI Futurist Research Lead (2026 Vision)

Nexus Horizon Labs
Austin
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Horizon Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek an AI Futurist Research Lead to architect next-generation artificial intelligence systems that will redefine human-machine interaction. This role blends cutting-edge machine learning with strategic foresight to build ethical, scalable AI frameworks for the coming decade.

Why Nexus Horizon Labs? We're a collective of visionaries developing AI ecosystems for climate resilience, space exploration, and human augmentation. Our Austin hub features a quantum computing lab and neuro-interfaces research center.

Responsibilities

  • Design and deploy generative AI models for predictive 2026 scenario planning
  • Lead cross-disciplinary teams in developing AGI safety protocols
  • Architect neural-symbolic AI systems for ethical decision-making frameworks
  • Collaborate with quantum computing teams to accelerate AI training
  • Pioneer human-AI symbiosis interfaces for healthcare and education sectors
  • Publish research in top-tier AI journals and present at global tech summits
  • Mentor researchers in emerging AI paradigms (e.g., neuromorphic computing)

Qualifications

  • PhD in Computer Science, AI, or Cognitive Science with 5+ years industry experience
  • Expertise in transformer architectures, diffusion models, and reinforcement learning
  • Proven track record of deploying production-level AI systems at scale
  • Deep understanding of AI ethics, bias mitigation, and alignment research
  • Proficiency in Python, PyTorch, TensorFlow, and MLOps frameworks
  • Experience with quantum machine learning algorithms
  • Published research in NeurIPS, ICML, or Nature Machine Intelligence

Required Skills

AI Research Machine Learning Quantum Computing Neural Networks Ethics in AI Futurism Generative AI Reinforcement Learning Python PyTorch

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