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Futurist AI Research Scientist

Innovate Tomorrow Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Innovate Tomorrow Labs at the forefront of technological evolution as we shape the future of artificial intelligence. We're seeking a visionary Futurist AI Research Scientist to pioneer breakthroughs that will redefine industries by 2026 and beyond. In this pivotal role, you'll lead cutting-edge research in quantum AI, neural-semantic modeling, and ethical autonomous systems while collaborating with Nobel laureates and industry disruptors.

Our San Francisco campus offers unparalleled resources including a 50-qubit quantum computer, neuro-symbolic computing clusters, and direct partnerships with NASA and MIT. You'll influence AI policy frameworks and mentor the next generation of AI pioneers in an environment where innovation isn't just encouraged—it's our DNA.

Responsibilities

  • Lead cross-functional research initiatives in quantum machine learning and generative AI ethics
  • Develop patent-pending algorithms for autonomous decision-making in high-stakes environments
  • Collaborate with policy think tanks on AI governance frameworks for 2026+ implementation
  • Mentor PhD researchers and publish breakthrough findings in Nature/Science journals
  • Architect next-gen neural-symbolic computing systems with 10x efficiency improvements
  • Present findings at Davos, TED, and UN AI summits

Qualifications

  • PhD in Computer Science/AI with 5+ years postdoc experience in quantum computing
  • Published 15+ peer-reviewed papers on neural-symbolic integration or federated learning
  • Expertise in PyTorch, TensorFlow Quantum, and Cirq frameworks
  • Proven track record of securing $1M+ in DARPA/NASA research grants
  • Deep understanding of EU AI Act and OECD AI principles
  • Experience with neuromorphic hardware (Loihi, TrueNorth)
  • Fluency in Python, Rust, and quantum assembly languages

Required Skills

Quantum Computing Neural-Symbolic AI Ethics in AI Federated Learning PyTorch TensorFlow Quantum Policy Frameworks Neuromorphic Hardware

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