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AI Research Scientist (2026 Vision)

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join QuantumLeap Dynamics at the forefront of 2026's technological revolution. We're pioneering next-generation AI systems that will redefine human-machine interaction. As an AI Research Scientist, you'll architect breakthrough solutions in quantum machine learning and neural networks, collaborating with Nobel laureates and industry disruptors. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into real-world applications that will shape the next decade.

We offer competitive equity packages, flexible hybrid work, and a culture where your ideas become industry standards. If you're ready to build the future, apply today.

Responsibilities

  • Lead R&D initiatives in quantum AI algorithms and generative neural networks
  • Develop novel architectures for autonomous decision-making systems
  • Collaborate with robotics and biotech teams on human-AI integration projects
  • Publish groundbreaking research in top-tier journals and conferences
  • Secure patents for proprietary AI methodologies and frameworks
  • Mentor junior researchers in emerging AI paradigms
  • Partner with product teams to commercialize research breakthroughs

Qualifications

  • PhD in Computer Science, AI, or Quantum Computing (or equivalent experience)
  • 5+ years in applied research with peer-reviewed publications
  • Expertise in transformer architectures and reinforcement learning
  • Proficiency with PyTorch, TensorFlow, and quantum computing frameworks
  • Strong background in ethics and bias mitigation in AI systems
  • Track record of translating research into scalable solutions
  • Experience with federated learning and edge AI deployment
  • Demonstrated ability to lead cross-functional technical teams

Required Skills

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

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