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AI Research Scientist - 2026 Visionary

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join QuantumLeap Labs at the forefront of 2026 technological evolution! We're seeking an AI Research Scientist to pioneer breakthroughs in generative AI and quantum computing integration. Shape the future of human-machine interaction in our state-of-the-art San Francisco lab, where your work will directly impact how humanity interfaces with emerging technologies.

As a key member of our Future Technologies Division, you'll collaborate with Nobel laureates and industry disruptors to develop next-generation AI systems that will redefine industries by 2026. This role offers unparalleled resources for experimentation and the opportunity to publish groundbreaking research in top-tier journals.

Responsibilities

  • Lead R&D initiatives in generative AI models with 2026-era computational capabilities
  • Develop quantum-classical hybrid algorithms for exponential processing power
  • Design ethical AI frameworks for autonomous decision-making systems
  • Collaborate with neuromorphic engineering teams on brain-inspired computing
  • Pioneer human-AI symbiosis interfaces through biometric feedback integration
  • Publish 3+ peer-reviewed papers annually in top-tier AI/quantum journals
  • Mentor junior researchers in emerging AI paradigms

Qualifications

  • PhD in Computer Science, AI, or Quantum Computing (or equivalent experience)
  • 5+ years developing production-scale generative AI systems
  • Expertise in transformer architectures, reinforcement learning, and quantum algorithms
  • Published research in NeurIPS/ICML/Science with 2026+ citations
  • Proficiency in quantum programming languages (Q#, Qiskit)
  • Experience with neuromorphic computing frameworks (Loihi, Intel's Pohoiki)
  • Demonstrated ability to translate theoretical models into real-world applications
  • Portfolio of projects showcasing ethical AI implementation

Required Skills

AI Research Quantum Computing Generative Models Reinforcement Learning Quantum Algorithms Neuromorphic Computing Ethical AI Transformer Architectures Q# Qiskit

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