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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - Quantum Computing

QuantumLeap AI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join QuantumLeap AI at the forefront of 2026's technological revolution! We're pioneering quantum AI solutions that will redefine computational boundaries. As an AI Research Scientist, you'll develop next-generation machine learning models leveraging quantum algorithms to solve previously impossible problems. Our state-of-the-art lab in San Francisco offers unparalleled resources and collaborative environment where your innovations could shape humanity's future. We value intellectual curiosity, bold thinking, and disruptive approaches to complex challenges.

Responsibilities

  • Design and implement quantum machine learning algorithms for real-world applications
  • Lead cutting-edge research in quantum neural networks and hybrid quantum-classical systems
  • Collaborate with cross-functional teams to deploy prototypes in production environments
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor junior researchers and contribute to open-source quantum AI frameworks
  • Secure competitive research funding through grant proposals
  • Develop scalable solutions for industry partners in finance, healthcare, and logistics

Qualifications

  • PhD in Computer Science, Physics, or related field with quantum computing focus
  • 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
  • Expertise in advanced ML frameworks (TensorFlow, PyTorch) and high-performance computing
  • Proven track record of publishing in quantum machine learning or AI research
  • Strong mathematical background in linear algebra, probability, and information theory
  • Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
  • Ability to translate complex theoretical concepts into practical implementations
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Machine Learning AI Research Python TensorFlow PyTorch Qiskit High-Performance Computing Neural Networks Data Science Cloud Computing

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