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2026 AI Research Lead

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Shape the Future of AI at QuantumLeap Labs

We're seeking a visionary AI Research Lead to architect breakthrough systems for 2026 and beyond. Join our elite team pushing the boundaries of artificial intelligence, quantum machine learning, and neural-symbolic integration. This role offers unparalleled opportunity to redefine technological possibilities while solving humanity's most pressing challenges.

As a Research Lead, you'll drive cutting-edge projects in autonomous decision-making systems and ethical AI frameworks, collaborating with Nobel laureates and industry pioneers. Our state-of-the-art facility in San Francisco provides unlimited resources to transform theoretical concepts into revolutionary applications.

Responsibilities

  • Architect next-gen AI systems for 2026 deployment across healthcare, climate science, and autonomous infrastructure
  • Lead cross-functional teams in developing quantum-enhanced neural networks
  • Establish ethical AI governance frameworks aligned with evolving regulatory landscapes
  • Secure $5M+ in research grants through innovative proposal development
  • Pioneer hybrid quantum-classical computing architectures for real-world applications
  • Drive open-source contributions to accelerate global AI advancement
  • Mentor PhD researchers and publish in top-tier AI journals

Qualifications

  • PhD in Computer Science, AI, or Quantum Computing with 8+ years industry experience
  • Proven track record of deploying production AI systems at scale
  • Expertise in quantum machine learning and neuromorphic computing
  • Strong publication record at NeurIPS/ICML/AAAI conferences
  • Deep knowledge of ethical AI frameworks and bias mitigation
  • Experience securing federal research grants (NSF/NIH/DARPA)
  • Proficiency in PyTorch, TensorFlow Quantum, and Cirq frameworks
  • Exceptional leadership skills managing cross-disciplinary teams

Required Skills

Quantum Computing Machine Learning Neural Networks AI Ethics Quantum Algorithms Research Leadership Python TensorFlow Quantum Neuromorphic Engineering

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