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Senior AI Research Scientist

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join QuantumLeap Technologies at the forefront of 2026's AI revolution! We're seeking a visionary Senior AI Research Scientist to pioneer breakthroughs in generative AI and quantum computing integration. As a key architect of our next-gen AI systems, you'll collaborate with Nobel laureates and industry disruptors to transform theoretical models into real-world solutions that redefine human-computer interaction.

Our San Francisco campus offers unparalleled resources, including a 100-qubit quantum processor lab and petabyte-scale GPU clusters. Enjoy flexible hybrid work, equity grants, and a comprehensive benefits package designed for the tech elite. This role is your chance to shape the AI landscape for the coming decade.

Responsibilities

  • Lead R&D initiatives in generative AI models and quantum machine learning algorithms
  • Design scalable neural architectures for next-generation autonomous systems
  • Collaborate with quantum hardware teams to optimize AI-quantum hybrid workflows
  • Publish 3+ peer-reviewed papers annually in top-tier AI/quantum journals
  • Mentor junior researchers and cross-functional innovation teams
  • Translate theoretical breakthroughs into patentable commercial applications
  • Present findings at global tech summits including AI2026 Symposium

Qualifications

  • PhD in Computer Science, Quantum Physics, or related field with 5+ years industry experience
  • Proven expertise in transformer architectures and quantum computing frameworks
  • Publication record in Nature/Science or equivalent tier journals
  • Mastery of PyTorch, TensorFlow, and quantum programming languages (Q#, Qiskit)
  • Experience leading AI projects with budgets exceeding $2M
  • Strong background in ethical AI development and bias mitigation
  • Fluency in Python, C++, and quantum circuit design

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Neural Networks Generative AI Python TensorFlow PyTorch Q# Qiskit

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