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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

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

Job Description

Shape the future at QuantumLeap Dynamics as we pioneer the next frontier of artificial intelligence in 2026. We're seeking visionary AI Research Scientists to revolutionize human-machine collaboration and solve humanity's most complex challenges. Join our cross-disciplinary team at the intersection of quantum computing, neural networks, and ethical AI development. Enjoy unparalleled resources, flexible work arrangements, and the opportunity to publish breakthrough research in leading journals. Your work will directly impact industries from healthcare to autonomous systems, creating a legacy of innovation.

Responsibilities

  • Lead cutting-edge research in quantum machine learning and generative AI models
  • Design and implement novel neural architectures for next-gen autonomous systems
  • Collaborate with quantum hardware teams to optimize AI-quantum hybrid algorithms
  • Develop ethical AI frameworks ensuring alignment with human values and societal impact
  • Publish 2-3 peer-reviewed papers annually in top-tier AI conferences (NeurIPS, ICML)
  • Mentor junior researchers and foster cross-functional innovation
  • Translate theoretical breakthroughs into scalable production systems

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 3+ years post-grad experience
  • Proven expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum computing principles
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Strong background in natural language processing and computer vision
  • Experience with distributed ML systems and high-performance computing
  • Demonstrated ability to translate research into production-level solutions
  • Passion for ethical AI development and responsible innovation

Required Skills

Machine Learning Deep Learning Quantum Computing Neural Networks Python TensorFlow PyTorch Natural Language Processing Computer Vision Research Ethics

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