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AI Futurist Research Lead

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

Job Description

Shape the future at Nexus Innovations, where we're pioneering breakthroughs that will define 2026 and beyond. As our AI Futurist Research Lead, you'll architect next-generation intelligent systems that solve humanity's most complex challenges. Join a multidisciplinary team of visionaries in our state-of-the-art San Francisco lab, where cutting-edge research meets real-world impact. We offer competitive equity packages, flexible work arrangements, and unparalleled opportunities to transform theoretical innovation into tangible solutions.

Responsibilities

  • Lead strategic research initiatives focused on 2026-era AI capabilities including AGI pathways and quantum-integrated machine learning
  • Architect scalable AI frameworks for autonomous systems and human-AI symbiosis
  • Collaborate with quantum computing teams to develop hybrid AI-quantum algorithms
  • Publish breakthrough research in top-tier journals and industry conferences
  • Guide cross-functional teams in translating research prototypes into production-ready solutions
  • Establish ethical frameworks for next-generation AI deployment and governance

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years of research leadership experience
  • Proven track record of publishing at NeurIPS/ICML/AAAI or equivalent tier-1 conferences
  • Expertise in transformer architectures, reinforcement learning, and causal inference
  • Experience with quantum computing principles and quantum machine learning
  • Strong background in AI ethics, bias mitigation, and responsible AI development
  • Ability to lead complex research projects across interdisciplinary teams
  • Proficiency in Python, PyTorch/TensorFlow, and high-performance computing environments

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Research Leadership AI Ethics Transformers Reinforcement Learning Python

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