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AI Research Scientist - 2026 Visionary

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of technological evolution. We're pioneering AI systems that will redefine industries by 2026, and we need visionary minds to shape tomorrow's reality. As an AI Research Scientist, you'll develop transformative models in quantum-computing-enhanced neural networks while collaborating with Nobel laureates and industry disruptors. Our state-of-the-art lab in San Francisco offers unparalleled resources for groundbreaking research.

Why QuantumLeap?

  • Unlimited compute resources on our quantum hybrid supercomputer
  • Equity in a unicorn-valued startup
  • Annual research budget of $500,000+ per scientist
  • Patent-first culture with 100% IP ownership

Responsibilities

  • Lead development of next-gen AI models for quantum computing integration
  • Publish 3+ peer-reviewed papers annually in top-tier journals (Nature, Science, etc.)
  • Collaborate with hardware teams to optimize AI-quantum hardware interfaces
  • Secure $2M+ in annual research grants from NSF and DARPA
  • Mentor PhD researchers and interns in cutting-edge techniques
  • Develop ethical frameworks for 2026-level autonomous systems
  • Partner with Fortune 500 companies for real-world deployment

Qualifications

  • PhD in Computer Science, Quantum Physics, or related field
  • 5+ years in AI research with 3+ publications at NeurIPS/ICML
  • Expertise in quantum machine learning algorithms
  • Proven track record of securing federal research grants
  • Proficiency in TensorFlow/PyTorch and quantum SDKs
  • Experience with 100+ parameter-scale model training
  • Published work on ethical AI alignment or explainability
  • Strong background in theoretical computer science

Required Skills

AI Research Quantum Computing Machine Learning Neural Networks TensorFlow PyTorch Quantum Algorithms Ethics in AI Grant Writing Scientific Publishing

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