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AI Research Scientist (2026)

Quantum Leap Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join Quantum Leap Innovations at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek visionary AI Research Scientists to architect next-generation intelligence systems that will redefine human-machine collaboration. This role offers unparalleled opportunities to shape the future through cutting-edge research in quantum computing, neural networks, and autonomous decision-making frameworks.

Our state-of-the-art laboratory in San Francisco's tech hub provides an incubator for breakthrough innovations. Collaborate with Nobel laureates and industry disruptors in an environment that values intellectual curiosity and bold experimentation. We offer competitive compensation, equity packages, and the autonomy to pursue groundbreaking research initiatives.

Responsibilities

  • Design and implement novel AI architectures for quantum-enhanced machine learning systems
  • Lead cross-functional research initiatives in neural-symbolic integration
  • Develop ethical frameworks for autonomous decision-making in 2026+ applications
  • Publish findings in top-tier journals and present at global tech summits
  • Mentor junior researchers and foster innovation through hackathons and workshops
  • Collaborate with robotics teams to embed advanced AI in physical systems
  • Secure research grants and partnerships with leading academic institutions

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years research experience
  • Published work in NeurIPS, ICML, or equivalent top-tier conferences
  • Expertise in quantum machine learning and neuromorphic computing
  • Proficiency in Python, TensorFlow, and PyTorch with distributed training
  • Strong background in ethics, bias mitigation, and explainable AI
  • Experience with large-scale experimentation on cloud/HPC platforms
  • Demonstrated ability to translate research into commercial applications

Required Skills

AI Research Machine Learning Quantum Computing Neural Networks Ethics in AI TensorFlow Python Distributed Systems

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