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AI Research Scientist (2026 Vision)

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of artificial intelligence evolution! We're pioneering 2026's breakthrough technologies in quantum-computing-optimized neural networks and ethical AI frameworks. As an AI Research Scientist, you'll architect next-generation systems that redefine human-machine collaboration while championing responsible innovation. Our state-of-the-art facility in San Francisco offers unparalleled resources including quantum computing clusters and neuro-symbolic research labs.

This role combines cutting-edge research with practical implementation, offering 25% dedicated R&D time and collaboration with Nobel Prize-winning advisors. We provide comprehensive benefits including equity packages, relocation assistance, and flexible work arrangements for our global team.

Responsibilities

  • Design and implement quantum-enhanced machine learning algorithms for 2026-era applications
  • Lead cross-functional teams in developing ethical AI frameworks and bias mitigation protocols
  • Author breakthrough research papers for top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Translate theoretical innovations into scalable production-level AI systems
  • Collaborate with quantum computing teams to optimize neural network architectures
  • Shape industry standards through participation in AI ethics consortiums
  • Mentor junior researchers and publish open-source research tools

Qualifications

  • PhD in Computer Science, AI, Quantum Computing, or related field (or equivalent experience)
  • 5+ years of hands-on experience with deep learning frameworks (PyTorch, TensorFlow)
  • Published research in top-tier AI/ML conferences or journals
  • Expertise in quantum machine learning algorithms and quantum circuit design
  • Strong background in AI ethics, fairness, and explainable AI techniques
  • Proficiency in high-performance computing environments and distributed systems
  • Track record of translating research into production-level AI solutions

Required Skills

Quantum Computing Machine Learning Deep Learning AI Ethics PyTorch TensorFlow Research Quantum Machine Learning

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