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AI Research Scientist (2026)

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

Job Description

Join QuantumLeap Dynamics as we redefine the boundaries of artificial intelligence in 2026. We're seeking visionary AI Research Scientists to pioneer next-generation neural architectures and quantum-enhanced machine learning systems. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art R&D lab, pushing the frontiers of AGI development and ethical AI frameworks.

This role offers unparalleled resources for groundbreaking research, including access to our 1000-qubit quantum computing cluster and $50M annual R&D budget. We provide comprehensive benefits including equity, relocation assistance, and sabbatical programs to fuel your innovation.

Responsibilities

  • Design and implement novel neural network architectures for 2026-era computing paradigms
  • Lead quantum machine learning experiments using hybrid quantum-classical models
  • Develop ethical AI governance frameworks for autonomous systems
  • Collaborate with cross-disciplinary teams to commercialize breakthrough research
  • Publish findings in top-tier journals and present at global AI summits
  • Mentor junior researchers in advanced ML methodologies

Qualifications

  • PhD in Machine Learning, Quantum Computing, or related field (or equivalent experience)
  • 5+ years developing production-level AI systems with 99.9% accuracy
  • Expertise in quantum machine learning frameworks (Qiskit, Cirq)
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML)
  • Proficiency in Python, TensorFlow, and PyTorch with custom model optimization
  • Experience with federated learning and decentralized AI systems
  • Demonstrated ability to translate research into scalable commercial applications

Required Skills

Machine Learning Quantum Computing Neural Networks TensorFlow PyTorch Qiskit Python Ethics in AI Federated Learning

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