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AI Research Scientist - 2026 Vision

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

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution! We're seeking visionary AI Research Scientists to architect breakthrough solutions for 2026 and beyond. Shape the future of human-computer interaction, autonomous systems, and predictive intelligence in our state-of-the-art Silicon Valley lab. Collaborate with Nobel laureates and industry pioneers while working on projects that will redefine how humanity interacts with technology.

Why QuantumLeap? Unparalleled resources, unlimited compute power, and a culture where your wildest ideas become reality. We offer competitive equity packages, flexible work arrangements, and dedicated R&D budgets for your personal innovation projects.

Responsibilities

  • Architect next-gen AI models for 2026-era applications (quantum-enhanced ML, neuromorphic computing)
  • Lead research in autonomous decision-making systems and human-AI collaboration frameworks
  • Develop novel algorithms for predictive analytics in complex socio-technical systems
  • Collaborate with hardware teams to co-design AI-optimized quantum computing architectures
  • Translate theoretical breakthroughs into production-ready solutions with 99.99% reliability
  • Publish top-tier research in Nature/Science AI special editions and NeurIPS/ICML 2026 tracks
  • Mentor cross-disciplinary teams of physicists, neuroscientists, and software engineers

Qualifications

  • PhD in AI/ML or related field with 5+ years of industry R&D experience
  • Published research in top-tier journals (NeurIPS, ICML, CVPR) or equivalent impact
  • Expertise in quantum machine learning and neuromorphic computing frameworks
  • Proven ability to deploy production AI systems at enterprise scale (>10M users)
  • Strong background in computational neuroscience and cognitive architectures
  • Experience with federated learning and ethical AI governance frameworks
  • Portfolio of open-source contributions with >1K GitHub stars
  • Ability to communicate complex concepts to C-suite and technical stakeholders

Required Skills

Machine Learning Quantum Computing Neuromorphic Systems Predictive Analytics Autonomous Systems Federated Learning Ethics in AI Computational Neuroscience

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