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AI Research Scientist (2026 Vision)

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Shape the future of artificial intelligence at QuantumLeap Labs. We're seeking visionary AI Research Scientists to pioneer breakthrough technologies that will redefine humanity's relationship with machines by 2026. Join our elite team in San Francisco, where you'll collaborate with Nobel laureates and industry pioneers to develop next-gen AI systems that solve humanity's greatest challenges.

Our state-of-the-art research facility offers unparalleled resources including quantum computing clusters, neuromorphic hardware, and unlimited cloud infrastructure. This is more than a job – it's your chance to contribute to projects that will shape the next decade of technological advancement.

We offer competitive compensation, comprehensive benefits including equity, and a flexible work culture designed for maximum innovation. If you're ready to push the boundaries of what's possible in AI, we want to hear from you.

Responsibilities

  • Lead cutting-edge research in quantum machine learning and neuromorphic computing
  • Design and implement novel AI architectures for 2026-era applications
  • Collaborate with cross-disciplinary teams to integrate AI solutions into autonomous systems
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor junior researchers and contribute to our open-source AI initiatives
  • Develop ethical frameworks for next-generation autonomous decision-making systems
  • Secure research grants and partnerships with leading academic institutions

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years of industry experience
  • Expertise in quantum computing algorithms and neuromorphic hardware
  • Proven track record of publishing in NeurIPS, ICML, or equivalent tier-1 venues
  • Mastery of PyTorch/TensorFlow and distributed computing frameworks
  • Experience with large-scale LLM training and optimization techniques
  • Strong background in computational neuroscience and brain-inspired computing
  • Demonstrated ability to translate research into production-ready solutions
  • Passion for ethical AI development and responsible innovation

Required Skills

Quantum Computing Neuromorphic AI Large Language Models PyTorch TensorFlow Distributed Systems Research Ethics Autonomous Systems

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