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AI Research Scientist - 2026 Innovation Lab

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join our elite 2026 Innovation Lab at QuantumLeap Dynamics, where we're pioneering the next frontier of artificial intelligence. As an AI Research Scientist, you'll architect breakthrough solutions in quantum machine learning and neural network optimization, directly shaping how humanity interacts with intelligent systems tomorrow. Our cutting-edge campus in San Francisco offers unparalleled resources, including quantum computing clusters and neuro-symbolic AI testbeds, empowering you to transform theoretical concepts into revolutionary applications. Collaborate with Nobel laureates and Turing Award winners in an environment that values audacious thinking and rapid prototyping. This isn't just a jobβ€”it's your opportunity to define the AI landscape for the coming decade.

Responsibilities

  • Lead research initiatives in quantum-enhanced machine learning algorithms
  • Develop novel neural architectures for next-generation autonomous systems
  • Collaborate with hardware teams to optimize AI-quantum co-design
  • Publish breakthrough findings in top-tier journals and conferences
  • Mentor junior researchers in emerging AI paradigms
  • Secure federal and private grants for frontier AI research
  • Translate theoretical models into scalable production prototypes

Qualifications

  • PhD in Computer Science, AI, Quantum Computing, or related field
  • 5+ years of experience in advanced ML/NLP research
  • Published record in NeurIPS/ICML/ICLR or equivalent
  • Expertise in quantum computing frameworks (Qiskit, Cirq)
  • Proficiency in distributed training frameworks (PyTorch, TensorFlow)
  • Experience with neuromorphic computing systems
  • Strong background in ethics and responsible AI development
  • Track record of translating research to commercial impact

Required Skills

Quantum Computing Machine Learning Neural Networks Python PyTorch TensorFlow Qiskit NLP Reinforcement Learning Distributed Systems Research Ethics

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