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AI Research Scientist (2026 Vision)

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join QuantumLeap Dynamics at the forefront of technological innovation as we redefine human-AI collaboration for the 2026 horizon. We're seeking visionary AI Research Scientists to architect next-generation neural networks and quantum computing interfaces. Work in our state-of-the-art incubator with unparalleled resources to solve humanity's most complex challenges. Our culture thrives on intellectual curiosity and breakthrough thinking, offering competitive equity packages and flexible research timelines.

Position includes dedicated lab access, annual innovation grants, and collaboration with Nobel Prize laureates. Relocation assistance provided for exceptional candidates.

Responsibilities

  • Design and implement advanced deep learning architectures for real-time decision-making systems
  • Lead quantum-AI hybrid model development with 99.9% accuracy benchmarks
  • Publish 2+ peer-reviewed papers annually in top-tier AI/quantum journals
  • Mentor junior researchers in ethical AI development frameworks
  • Collaborate with hardware teams to optimize AI-quantum co-processing pipelines
  • Develop patentable solutions for climate modeling and medical diagnostics

Qualifications

  • PhD in Computer Science, AI, or Quantum Physics (or equivalent research experience)
  • 5+ years of hands-on experience with transformer models and quantum computing APIs
  • Published record in NeurIPS/ICML/Science with ≥1000 citations
  • Expertise in Python, TensorFlow, and quantum programming frameworks (Qiskit/Cirq)
  • Proven ability to lead cross-disciplinary research teams
  • Strong background in ethical AI governance and bias mitigation
  • Portfolio demonstrating breakthrough AI applications in sustainability or healthcare

Required Skills

Machine Learning Deep Learning Quantum Computing Python TensorFlow PyTorch Research Data Science Neural Networks Ethics

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