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AI Research Scientist - 2026 Vision

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join QuantumLeap Labs at the forefront of 2026's technological revolution! We're seeking visionary AI Research Scientists to architect the next generation of autonomous systems and quantum computing interfaces. Shape the future by developing breakthrough algorithms that redefine human-machine collaboration in healthcare, climate modeling, and space exploration. Our state-of-the-art lab offers unparalleled resources and a culture where your ideas become reality.

What you'll achieve:

  • Lead pioneering research in neural-symbolic AI architectures
  • Collaborate with Nobel Prize-winning physicists on quantum-AI hybrid models
  • Publish findings in Nature/Science journals and present at NeurIPS
  • Secure $5M+ in research grants for 2026 initiatives

Responsibilities

  • Design and implement novel quantum-resistant machine learning algorithms
  • Develop ethical AI frameworks for autonomous decision-making systems
  • Lead cross-functional teams in prototyping 2026-era human-AI interfaces
  • Secure patents for breakthrough neural compression techniques
  • Advise Fortune 500 clients on AI readiness for 2026 digital transformation
  • Publish 2+ peer-reviewed papers annually in top-tier AI conferences
  • Mentor PhD candidates in quantum machine learning research

Qualifications

  • PhD in Computer Science, Quantum Physics, or related field
  • 5+ years in AI research with 3+ years in quantum computing
  • Published record in NeurIPS/ICML/ICLR with >100 citations
  • Expertise in TensorFlow Quantum and Cirq frameworks
  • Proven ability to secure NSF/DARPA grants
  • Experience with neuromorphic computing hardware (Loihi, BrainChip)
  • Deep understanding of AI alignment and ethical AI principles
  • Fluency in Python, Julia, and quantum assembly languages

Required Skills

Quantum Computing Machine Learning TensorFlow Quantum Cirq Neural-Symbolic AI Neuromorphic Computing AI Ethics Grant Writing TensorFlow PyTorch Julia

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