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Senior AI Research Scientist - Project 2026

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
New
Live Update
6 Juli 2026
Deadline
6 Jul 2027

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution as we launch Project 2026—a revolutionary initiative to redefine human-machine symbiosis. We seek a visionary Senior AI Research Scientist to architect next-generation neural networks and ethical AI frameworks that will shape the next decade of innovation. This role offers unparalleled opportunity to collaborate with Nobel laureates and lead breakthrough research in quantum-enhanced machine learning. Our state-of-the-art lab in San Francisco features 5G+ infrastructure and quantum computing clusters, providing unprecedented resources for transformative work.

Responsibilities

  • Design and implement cutting-edge AI architectures for autonomous decision-making systems
  • Lead cross-functional teams in developing ethical AI governance frameworks
  • Publish groundbreaking research in top-tier AI/ML journals and conferences
  • Collaborate with quantum computing specialists to hybridize classical and quantum AI models
  • Drive innovation in neuromorphic computing and brain-inspired AI systems
  • Mentor junior researchers and establish best practices for reproducible AI experiments
  • Secure patents for novel AI methodologies and secure $10M+ in research funding

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Proven track record of publishing in NeurIPS, ICML, or equivalent tier-1 venues
  • Expertise in transformer architectures, reinforcement learning, and generative models
  • Proficiency in PyTorch, TensorFlow, and quantum computing frameworks (Qiskit, Cirq)
  • Strong background in AI ethics, bias mitigation, and responsible AI development
  • Experience leading $5M+ research initiatives with measurable impact metrics
  • Demonstrated ability to translate complex AI concepts into commercial applications
  • Preferred: Background in neuroscience or neuromorphic engineering

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Neural Networks Research Ethics PyTorch TensorFlow Qiskit

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