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AI Research Scientist (2026 Vision)

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the future at QuantumLeap Labs, where innovation meets 2026's technological frontier. We're seeking visionary AI Research Scientists to pioneer breakthroughs in quantum-enhanced machine learning, autonomous systems, and ethical AI frameworks. Join our elite team in San Francisco's tech epicenter and transform theoretical concepts into real-world solutions that will define the next decade.

Our state-of-the-art facility offers unparalleled resources for research and collaboration, with direct access to quantum computing clusters and petabyte-scale datasets. You'll work alongside Nobel laureates and Turing Award winners in an environment that encourages bold thinking and rapid prototyping.

Responsibilities

  • Lead breakthrough research in quantum AI algorithms and neural network architectures
  • Develop scalable machine learning models for autonomous decision-making systems
  • Collaborate with hardware engineers to optimize AI-quantum hardware interfaces
  • Author peer-reviewed publications and patents for 2026-era AI innovations
  • Mentor junior researchers and cross-functional technical teams
  • Design ethical frameworks for next-generation AI deployment
  • Secure $5M+ in government and industry research grants

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Proven track record of publishing in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Expertise in quantum computing principles and quantum machine learning
  • Proficiency in PyTorch/TensorFlow and quantum programming frameworks (Qiskit, Cirq)
  • Strong background in reinforcement learning and generative models
  • Experience securing federal research grants (NSF, DARPA, DOE)
  • Demonstrated ability to lead multi-disciplinary technical teams

Required Skills

AI Research Quantum Computing Machine Learning Neural Networks PyTorch TensorFlow Qiskit Reinforcement Learning Grant Writing Ethics in AI

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