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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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

Job Description

Shape the future of artificial intelligence at QuantumLeap Labs, where cutting-edge research meets real-world impact. We're pioneering breakthroughs in quantum-AI fusion and autonomous systems, seeking visionary researchers to lead transformative projects in our San Francisco headquarters. Join a Nobel Prize-winning team with 30+ patents in next-gen AI and collaborate with Fortune 500 partners deploying your innovations globally.

Responsibilities

  • Design and execute advanced AI research projects spanning quantum machine learning and neural-symbolic integration
  • Develop novel algorithms for autonomous decision-making systems with 99.99% reliability
  • Lead cross-functional teams in translating theoretical models into production-grade solutions
  • Author peer-reviewed publications and present findings at top-tier conferences (NeurIPS, ICML)
  • Secure $5M+ in research grants by crafting compelling proposals for DARPA and NSF initiatives
  • Mentor PhD candidates and publish 3+ high-impact papers annually
  • Architect ethical AI frameworks aligned with EU AI Act and emerging global regulations

Qualifications

  • PhD in Computer Science, AI, or Quantum Computing with 5+ years industry R&D experience
  • Published 15+ papers in top-tier AI/ML journals with h-index >20
  • Expertise in quantum neural networks and federated learning architectures
  • Proficiency in PyTorch, TensorFlow, and quantum computing frameworks (Qiskit, Cirq)
  • Track record of commercializing AI solutions with measurable business impact
  • Strong background in AI ethics, bias mitigation, and explainable AI techniques
  • Experience securing federal research grants and managing multi-million dollar budgets

Required Skills

Quantum Computing Machine Learning Neural Networks TensorFlow PyTorch AI Ethics Research Leadership Grant Writing Autonomous Systems

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