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AI Research Scientist - 2026 Vision Lab

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

Job Description

Join our pioneering 2026 Vision Lab at FutureHorizon Labs, where we're architecting the next frontier of artificial intelligence. We seek visionary AI Research Scientists to develop breakthrough systems that will redefine human-machine interaction by 2026. Collaborate with Nobel laureates and Turing Award winners in our state-of-the-art quantum-entangled computing facility.

Our multidisciplinary team operates at the intersection of neuromorphic engineering, generative AI, and ethical framework design. You'll lead projects spanning autonomous decision-making systems, cognitive-computing interfaces, and AGI safety protocols. We offer unparalleled resources including exascale computing clusters and exclusive partnerships with MIT's CSAIL and Stanford's AI Lab.

Responsibilities

  • Architect next-gen AI models with <1ms latency and >99.99% accuracy for 2026 deployment
  • Develop ethical governance frameworks for autonomous systems operating in critical infrastructure
  • Lead quantum-neural hybrid computing experiments achieving 1000x efficiency gains
  • Collaborate on patents for neuromorphic hardware-software co-design solutions
  • Mentor cross-functional teams in implementing generative AI safety protocols
  • Publish breakthrough research in Nature/Science journals with 2026 application focus

Qualifications

  • PhD in Computer Science/AI/Neuroscience with 5+ years industry R&D
  • Published work on transformer architectures or quantum machine learning
  • Expertise in PyTorch/TensorFlow with 100M+ parameter model deployment
  • Deep understanding of AGI safety alignment and ethical AI frameworks
  • Experience with neuromorphic hardware (Loihi, Intel Hala Point)
  • Proven track record of commercializing AI systems with real-world impact
  • Strong background in cognitive science and human-computer interaction

Required Skills

AI Research Machine Learning Quantum Computing Neuromorphic Engineering Generative AI Ethics PyTorch TensorFlow AGI Safety

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