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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Quantum Leap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Quantum Leap Labs at the forefront of 2026's technological revolution. We're pioneering breakthroughs in generative AI and quantum computing to redefine human-machine collaboration. As an AI Research Scientist, you'll architect next-generation neural networks that will power the world's most transformative systems. Our culture combines Silicon Valley agility with academic rigor, offering unparalleled resources for experimentation and impact.

Position yourself at the intersection of theoretical innovation and real-world application. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art research facilities, where your work directly shapes the future of artificial intelligence.

Responsibilities

  • Design and implement novel deep learning architectures for next-gen AI systems
  • Lead research initiatives in quantum machine learning and generative AI
  • Publish breakthrough findings in top-tier journals and conferences
  • Develop ethical frameworks for autonomous decision-making systems
  • Mentor junior researchers and cross-functional engineering teams
  • Translate theoretical models into production-ready solutions
  • Secure patents for proprietary AI methodologies

Qualifications

  • PhD in Computer Science, Mathematics, or related field (or equivalent experience)
  • 5+ years of hands-on experience with deep learning frameworks (PyTorch/TensorFlow)
  • Published research in top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Expertise in quantum computing algorithms and quantum neural networks
  • Proficiency in high-performance computing and distributed systems
  • Demonstrated ability to lead multi-disciplinary research projects
  • Strong background in AI ethics and responsible AI development

Required Skills

Machine Learning Deep Learning Quantum Computing Python TensorFlow PyTorch Research Neural Networks AI Ethics

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