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AI Research Scientist - 2026 Vision

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join QuantumLeap Labs at the forefront of technological evolution for 2026. We're pioneering next-generation AI systems that will redefine human-machine interaction. As an AI Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to develop breakthrough algorithms in quantum-enhanced machine learning. Our state-of-the-art facility in San Francisco's Tech Hub offers unparalleled resources to transform theoretical concepts into reality.

This role is part of our 'Project 2026' initiative – a $500M investment to create self-evolving AI architectures. You'll shape the ethical frameworks and technical foundations for systems that will power the next decade of innovation.

Responsibilities

  • Design and implement novel neural network architectures leveraging quantum computing principles
  • Lead cross-functional teams in developing explainable AI frameworks for high-stakes decision systems
  • Publish groundbreaking research in top-tier AI/ML journals and conferences
  • Collaborate with hardware engineers to optimize AI-quantum hardware interfaces
  • Establish ethical governance protocols for autonomous AI systems
  • Patent core algorithms for next-generation cognitive computing
  • Mentor PhD researchers in cutting-edge AI methodologies

Qualifications

  • PhD in Machine Learning, Computer Science, or Quantum Computing with 3+ years research experience
  • Published record in NeurIPS/ICML/ICLR or equivalent tier conferences
  • Expertise in quantum machine learning algorithms and tensor networks
  • Proficiency in PyTorch/TensorFlow with quantum simulation frameworks
  • Demonstrated experience in ethical AI design and bias mitigation
  • Strong background in computational complexity theory
  • Ability to translate complex concepts into actionable technical roadmaps

Required Skills

Quantum Computing Machine Learning Neural Networks PyTorch TensorFlow AI Ethics Research Data Science Quantum Algorithms

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