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AI Research Scientist (2026 Focus)

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Shape the future of artificial intelligence at QuantumLeap Labs! We're seeking a visionary AI Research Scientist to pioneer breakthroughs in 2026's next-gen AI paradigms. Join our elite team of innovators developing quantum-inspired neural networks and ethical AI frameworks that will redefine industry standards. You'll collaborate with Nobel laureates and tech pioneers in our state-of-the-art San Francisco hub, equipped with $10M+ in research infrastructure. This is your chance to contribute to projects that will impact billions worldwide.

We offer competitive equity packages, unlimited R&D budget, and flexible work arrangements designed for maximum creativity. Our culture celebrates intellectual curiosity and rewards paradigm-shifting thinking. If you're ready to push beyond current AI limitations, we want to hear from you.

Responsibilities

  • Design and implement novel quantum-inspired AI architectures for 2026-era applications
  • Lead cross-functional research teams in developing ethical AI governance frameworks
  • Publish breakthrough findings in top-tier AI conferences (NeurIPS, ICML, etc.)
  • Collaborate with product teams to translate research into commercial AI solutions
  • Mentor junior researchers and foster a culture of scientific excellence
  • Secure federal and private research grants for advanced AI initiatives
  • Present research findings to C-suite executives and industry partners

Qualifications

  • PhD in Computer Science, AI, or Quantum Computing (or equivalent research experience)
  • 5+ years in advanced AI research with 3+ publications at NeurIPS/ICML
  • Expertise in transformer architectures, quantum machine learning, or neuromorphic computing
  • Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
  • Demonstrated ability to secure $500K+ in research funding
  • Strong background in AI ethics and responsible AI development
  • Experience leading research teams of 5+ scientists

Required Skills

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

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