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AI Research Scientist - 2026 Vision

Quantum Leap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Quantum Leap Technologies at the forefront of innovation as we architect the AI landscape of 2026. We're seeking visionary AI Research Scientists to develop breakthrough algorithms that will redefine human-machine interaction. Our interdisciplinary team operates at the intersection of quantum computing, neural networks, and ethical AI to solve humanity's most complex challenges. This role offers unparalleled resources to pioneer next-generation AI systems while ensuring responsible deployment at scale.

Why Quantum Leap? We provide cutting-edge research infrastructure, industry-leading compensation, and the autonomy to shape the future of artificial intelligence. Our collaborative culture values intellectual curiosity and breakthrough thinking above all else.

Responsibilities

  • Design and implement novel deep learning architectures for next-generation AI applications
  • Lead research initiatives in quantum-enhanced machine learning algorithms
  • Develop ethical AI frameworks ensuring bias mitigation and transparency
  • Collaborate with cross-functional teams to translate research into production-ready solutions
  • Publish breakthrough findings in top-tier AI conferences and journals
  • Mentor junior researchers and drive innovation through internal hackathons
  • Secure external funding through government and industry partnerships

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of experience in advanced AI research with published papers
  • Expertise in at least one deep learning framework (PyTorch/TensorFlow)
  • Strong background in quantum computing principles or neural-symbolic AI
  • Proven track record of deploying scalable AI systems in production environments
  • Experience with ethical AI development and responsible AI frameworks
  • Exceptional problem-solving skills for complex, multi-disciplinary challenges
  • Strong communication abilities for technical and non-technical audiences

Required Skills

Machine Learning Deep Learning Quantum Computing Neural Networks PyTorch TensorFlow AI Ethics Research NLP Computer Vision Distributed Systems

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