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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join QuantumLeap Labs at the forefront of 2026's technological revolution as we pioneer next-generation AI systems that will reshape industries. We seek visionary AI Research Scientists to architect breakthrough solutions in quantum-enhanced machine learning and autonomous decision-making frameworks. Work alongside Nobel-caliber minds in our state-of-the-art San Francisco hub, where your innovations will directly impact global healthcare, climate modeling, and space exploration initiatives.

We offer unparalleled resources including quantum computing clusters and $1M+ annual research budgets. Our collaborative culture combines Silicon Valley agility with academic rigor, ensuring your ideas transform from theory to reality.

Responsibilities

  • Lead research initiatives in quantum-AI convergence and neural-symbolic integration
  • Develop novel algorithms for explainable AI and ethical autonomous systems
  • Collaborate with MIT and Caltech partners on DARPA-funded projects
  • Prototype production-ready models achieving human-level reasoning
  • Publish 3+ top-tier conference papers annually (NeurIPS, ICML, ICLR)
  • Mentor cross-functional teams in AI implementation strategy
  • Secure patents for breakthrough cognitive architectures

Qualifications

  • PhD in Computer Science/AI or equivalent with 5+ years research experience
  • Published record in quantum machine learning or neuromorphic computing
  • Expertise in PyTorch/TensorFlow with 10k+ GPU-hour project history
  • Proficiency in quantum programming frameworks (Qiskit, Cirq)
  • Demonstrated impact in deploying AI at scale (Fortune 500 partnerships)
  • Strong background in ethics and bias mitigation in AI systems
  • Experience securing $500k+ in research grants

Required Skills

AI Research Quantum Computing Machine Learning Deep Learning PyTorch TensorFlow Neural Networks Ethics in AI Scientific Publishing

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