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AI Research Scientist - 2026 Vision Lab

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

Job Description

Join QuantumLeap Dynamics at the forefront of technological innovation as we pioneer the next frontier of AI-driven solutions for 2026. We're seeking a visionary AI Research Scientist to lead breakthrough projects in quantum machine learning and autonomous systems. In this role, you'll collaborate with Nobel laureates and industry disruptors to develop scalable algorithms that will redefine human-computer interaction.

Our state-of-the-art 2026 Vision Lab offers unparalleled resources, including quantum computing clusters and neuromorphic hardware. You'll shape the future of AI ethics, contribute to open-source frameworks, and mentor the next generation of researchers while enjoying competitive benefits, flexible work arrangements, and opportunities for global collaboration.

Responsibilities

  • Lead research initiatives in quantum machine learning and neural-symbolic AI
  • Develop novel algorithms for real-time autonomous decision-making systems
  • Collaborate with hardware engineers to optimize AI-quantum hybrid architectures
  • Publish findings in top-tier journals (Nature, Science, NeurIPS)
  • Design ethical frameworks for 2026-level autonomous systems
  • Mentor junior researchers and lead cross-functional innovation sprints
  • Secure research grants from NSF, DARPA, and industry partners

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years research experience
  • Publication record at NeurIPS/ICML/CVPR with >50 citations
  • Expertise in quantum algorithms and quantum machine learning frameworks
  • Proficiency in Python, TensorFlow Quantum, and Qiskit
  • Strong background in neural-symbolic integration and explainable AI
  • Experience with neuromorphic computing and spiking neural networks
  • Demonstrated ability to translate research into production systems

Required Skills

Quantum Machine Learning Neural-Symbolic AI TensorFlow Quantum Qiskit Neuromorphic Computing Explainable AI Autonomous Systems Research Leadership

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