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AI Research Scientist - 2026 Visionary

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

Job Description

Join QuantumLeap Labs at the forefront of technological evolution as we pioneer breakthroughs that will define the 2026 landscape. We're seeking an AI Research Scientist to architect the next generation of intelligent systems that will transform industries and human experiences. This role offers unparalleled access to cutting-edge resources and the opportunity to shape the future of artificial intelligence.

Our ideal candidate thrives at the intersection of theoretical innovation and practical application, pushing boundaries in machine learning, quantum computing, and human-AI symbiosis. You'll collaborate with Nobel laureates and industry disruptors in an environment that values audacious thinking and disciplined execution.

Responsibilities

  • Lead pioneering research in quantum-enhanced neural networks and AGI architectures
  • Develop novel algorithms for ethical AI alignment and bias mitigation systems
  • Collaborate with cross-functional teams to prototype 2026-ready AI solutions
  • Publish breakthrough research in top-tier AI conferences and journals
  • Mentor junior researchers and foster a culture of intellectual curiosity
  • Secure $5M+ in research grants for next-generation AI initiatives

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Published research in Nature/Science or NeurIPS/ICML venues
  • Expertise in quantum machine learning and transformer architectures
  • Proficiency in PyTorch, TensorFlow, and quantum computing frameworks
  • Deep understanding of AI ethics, alignment, and safety protocols
  • Track record of translating research into commercial-scale applications
  • Strong background in computational neuroscience and human-computer interaction

Required Skills

Quantum Computing Machine Learning Neural Networks AI Ethics PyTorch TensorFlow Research Leadership Quantum Algorithms

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