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AI Research Scientist - 2026 Visionary Lab

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

Job Description

Join our pioneering 2026 Visionary Lab and shape the future of artificial intelligence. QuantumLeap Dynamics is seeking an AI Research Scientist to develop next-generation neural networks and autonomous systems that will redefine industries by 2026. Work in our state-of-the-art facility collaborating with Nobel laureates and disrupt the boundaries of machine learning, quantum computing, and human-AI symbiosis.

We offer unparalleled resources, flexible research timelines, and a culture that celebrates intellectual curiosity. Your breakthroughs here won't just advance science—they'll create the bedrock of tomorrow's technological revolution.

Responsibilities

  • Design and implement novel deep learning architectures for 2026-era applications
  • Lead cross-functional teams in developing ethical AI frameworks for autonomous decision systems
  • Publish breakthrough research in top-tier journals and conferences (NeurIPS, ICML)
  • Collaborate with quantum computing teams to hybridize classical and quantum AI models
  • Secure multi-million dollar research grants for 2026 technology roadmap projects
  • Mentor PhD candidates and postdoctoral researchers in emerging AI paradigms

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Published record in top-tier ML/AI conferences (10+ papers)
  • Expertise in transformer architectures, reinforcement learning, and federated learning
  • Proficiency in PyTorch, TensorFlow, and quantum programming frameworks (Qiskit)
  • Demonstrated ability to secure NSF/DARPA-level research funding
  • Experience with ethical AI governance frameworks (EU AI Act, NIST AI RMF)
  • Strong background in neuro-symbolic AI and human-computer interaction

Required Skills

Deep Learning Quantum Computing Neural Networks Reinforcement Learning PyTorch TensorFlow Ethical AI Research Grants Federated Learning

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