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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

QuantumLeap Labs
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
New
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of 2026's technological revolution! We're seeking visionary AI Research Scientists to pioneer breakthroughs in quantum machine learning and neural networks. Our multidisciplinary team operates at the intersection of artificial intelligence, quantum computing, and predictive analytics to solve humanity's most complex challenges. As a key member, you'll leverage our state-of-the-art research facilities and collaborate with Nobel laureates while developing next-generation AI systems that will redefine industries.

At QuantumLeap, we foster an environment where curiosity meets innovation. You'll have access to unparalleled resources including our proprietary quantum simulators and petabyte-scale datasets. Your work will directly impact emerging fields like climate modeling, personalized medicine, and autonomous systems. We offer comprehensive benefits including equity, flexible work arrangements, and dedicated research time to explore your own AI breakthroughs.

Responsibilities

  • Design and implement novel quantum-inspired algorithms for complex neural network optimization
  • Lead cross-functional research projects integrating quantum computing with deep learning frameworks
  • Develop predictive models for emerging technologies using federated learning approaches
  • Collaborate with hardware engineers to optimize AI-quantum hybrid system architectures
  • Publish groundbreaking research in top-tier journals and present at global AI conferences
  • Mentor junior researchers and foster a culture of experimental innovation
  • Secure research grants and partnerships with leading academic institutions

Qualifications

  • PhD in Computer Science, Quantum Physics, or related field with 3+ years of research experience
  • Expertise in quantum machine learning algorithms and quantum circuit design
  • Proven track record of publications in NeurIPS, ICML, or equivalent tier-1 conferences
  • Mastery of Python, TensorFlow, and PyTorch with quantum computing libraries (Qiskit, Cirq)
  • Deep understanding of theoretical computer science and quantum information theory
  • Experience with large-scale distributed computing systems and GPU acceleration
  • Strong analytical skills and ability to translate complex mathematical concepts into practical solutions

Required Skills

Quantum Computing Machine Learning Neural Networks TensorFlow PyTorch Python Quantum Algorithms Distributed Systems Predictive Analytics

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