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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

FutureTech Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join FutureTech Innovations at the forefront of 2026's AI revolution! We're seeking visionary AI Research Scientists to pioneer breakthrough technologies that will redefine industries. Work alongside Nobel laureates and Turing Award winners in our state-of-the-art San Francisco lab, where your innovations will shape the future of human-AI collaboration.

This role offers unparalleled access to our $2B R&D budget and exclusive partnerships with NASA, MIT, and Stanford. Enjoy flexible remote options, unlimited learning stipends, and equity in a unicorn poised to dominate the 2026 tech landscape. Your work will directly impact 500M+ users through our flagship quantum-AI fusion platform.

Responsibilities

  • Architect next-gen AI systems using quantum computing and neuromorphic processors
  • Lead cross-disciplinary research teams to develop ethical AGI frameworks
  • Author breakthrough papers for Nature/Science journals with 2026 impact targets
  • Design neural-symbolic architectures for real-time multimodal cognition
  • Collaborate with US government on AI safety protocols for critical infrastructure
  • Patent 3+ novel AI methodologies annually
  • Mentor PhD candidates in our sponsored Stanford program

Qualifications

  • PhD in AI/ML from top 10 university or 8+ years equivalent research experience
  • Published at NeurIPS/ICML/ICLR with h-index >25
  • Expertise in quantum machine learning and neuromorphic computing
  • Proficiency in Python, TensorFlow Quantum, and Cerebras hardware
  • Track record of securing NSF/DARPA grants >$1M
  • Strong background in AI ethics and alignment research
  • Experience with federated learning on distributed quantum networks

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Neuromorphic Engineering Neural-Symbolic AI AI Ethics Federated Learning TensorFlow Quantum Cerebras

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