Quantum AI Architect

1 week ago

San Francisco, California, United States Unreal Gigs Full time
Quantum Machine Learning Engineer

We're seeking a seasoned Quantum Machine Learning Engineer to join our team at Unreal Gigs. As a pioneer in the field, you'll be responsible for developing and implementing cutting-edge quantum machine learning algorithms that redefine the future of artificial intelligence.

In this role, you'll collaborate with cross-functional teams to build hybrid quantum-classical systems that harness the power of quantum computing for advanced machine learning applications. Your expertise in quantum programming, machine learning, and optimization will be essential in driving innovation and delivering impactful solutions.

Key Responsibilities:

  • Design and implement QML algorithms for applications such as classification, clustering, reinforcement learning, and generative models.
  • Develop hybrid frameworks that seamlessly combine quantum computing with classical machine learning techniques to enhance performance and scalability.
  • Create and refine quantum circuits to efficiently implement machine learning operations, considering hardware constraints like gate fidelity and qubit decoherence.
  • Apply QML algorithms to solve practical challenges in industries like finance, healthcare, logistics, and materials science, demonstrating quantum advantage.
  • Evaluate QML models using simulators and real quantum hardware, such as IBM Quantum, Google Quantum AI, or Rigetti. Analyze performance and compare results with classical approaches.
  • Stay updated on advances in QML and quantum hardware, researching emerging techniques and assessing their potential impact on the field.

Required Skills:

  • Expertise in quantum computing, with proficiency in languages like Qiskit, Cirq, TensorFlow Quantum, or PennyLane, and a solid understanding of quantum mechanics and hardware constraints.
  • Mastery of machine learning concepts, frameworks, and algorithms, with experience in libraries like TensorFlow, PyTorch, or Scikit-learn.
  • Advanced skills in Python and familiarity with C++ or other high-performance programming languages.
  • A deep understanding of linear algebra, probability theory, and optimization techniques, essential for QML development.

Benefits:

  • $120,000 - $180,000 per year salary
  • Ongoing training and professional development opportunities
  • A collaborative and dynamic work environment
  • The chance to work on cutting-edge projects and contribute to the advancement of quantum computing and AI

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