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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of 2026's technological revolution as an AI Research Scientist. We're pioneering next-generation neural networks and quantum AI integration to solve humanity's most complex challenges. This role offers unparalleled opportunities to publish breakthrough research, collaborate with Nobel laureates, and shape the future of artificial intelligence. Our state-of-the-art facility in San Francisco's innovation hub provides cutting-edge resources and a dynamic, cross-disciplinary environment.

We offer competitive equity packages, flexible hybrid work arrangements, and comprehensive benefits including unlimited learning stipends and sabbatical programs. Be part of the team that's already prototyping AGI frameworks and ethical AI governance models.

Responsibilities

  • Design and implement novel deep learning architectures for next-generation AI systems
  • Lead cross-functional teams in developing quantum-classical hybrid algorithms
  • Publish 2+ peer-reviewed papers annually in top-tier AI/ML conferences
  • Establish ethical AI frameworks aligned with 2026 global regulatory standards
  • Collaborate with product teams to translate research into commercial applications
  • Mentor junior researchers and drive open-source AI initiatives

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of experience in advanced neural network development
  • Published record in NeurIPS/ICML/ICLR or equivalent tier conferences
  • Expertise in quantum computing principles and quantum machine learning
  • Proficiency in PyTorch/TensorFlow and distributed training frameworks
  • Strong background in AI ethics, bias mitigation, and responsible AI
  • Experience with large-scale model deployment (GPT-4+ scale)

Required Skills

Deep Learning Quantum Computing Neural Networks AI Ethics PyTorch TensorFlow Distributed Systems Research Quantum ML

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