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Quantum AI Research Scientist

Innovate Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027



Job Description

Join the forefront of technological revolution at Innovate Future Labs! We're seeking a visionary Quantum AI Research Scientist to architect breakthrough solutions that will redefine 2026 and beyond. As a pioneer in our Quantum AI division, you'll collaborate with Nobel laureates and industry disruptors to develop next-gen algorithms that bridge quantum mechanics and artificial intelligence. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into real-world applications in cryptography, climate modeling, and personalized medicine. This isn't just a roleβ€”it's your chance to shape the future of human-machine collaboration.

We offer competitive equity packages, flexible hybrid work arrangements, and dedicated R&D budgets. Our culture values intellectual curiosity over credentials, with 30% of our researchers coming from non-traditional backgrounds. If you're driven to solve problems that haven't been solved yet, Innovate Future Labs is your launchpad.

Responsibilities

  • Design and implement quantum machine learning algorithms for unsolvable computational problems
  • Lead cross-functional R&D teams in developing hybrid quantum-classical neural networks
  • Author groundbreaking research papers for Nature/Science journals and IEEE conferences
  • Architect quantum-resistant security protocols for next-gen data infrastructure
  • Collaborate with hardware engineers to optimize quantum circuit performance
  • Translate theoretical quantum AI models into production-ready frameworks
  • Secure $2M+ in annual research grants through DARPA and NSF proposals

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or Machine Learning (or equivalent experience)
  • Published research in top-tier journals (Nature, Science, or IEEE) on quantum algorithms
  • Expertise in quantum programming languages (Qiskit, Cirq, or PennyLane)
  • Proven track record of scaling ML models on quantum hardware (IBM, Rigetti, or IonQ)
  • Strong background in complex systems theory and information entropy
  • Experience securing federal research grants or venture capital for R&D projects
  • Portfolio demonstrating 3+ commercially deployed quantum solutions

Required Skills

Quantum Computing Machine Learning Artificial Intelligence Theoretical Physics Quantum Algorithms Qiskit Cirq Research Data Science Cryptography Neural Networks Complex Systems

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