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2026 AI Research Lead

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join QuantumLeap Technologies at the forefront of technological evolution for 2026. We're seeking an AI Research Lead to architect next-generation artificial intelligence systems that will redefine industry standards. This role offers unparalleled opportunity to shape human-machine interaction paradigms through cutting-edge neural networks and quantum computing integration. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art R&D facility overlooking the Bay.

Our competitive package includes equity, unlimited PTO, and a dedicated innovation budget for your experimental projects. This position is ideal for visionaries who thrive at the intersection of theoretical computer science and practical implementation.

Responsibilities

  • Lead development of generative AI models with 2026-era capabilities including multimodal reasoning and autonomous decision frameworks
  • Architect quantum-AI hybrid systems for exponential computational efficiency
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor cross-functional teams of ML engineers and quantum specialists
  • Secure $5M+ annual research grants through strategic partnerships
  • Translate theoretical innovations into scalable commercial applications

Qualifications

  • PhD in Computer Science, Quantum Computing, or related field with 8+ years of AI research
  • Proven track record of publishing in Nature/Science or NeurIPS/ICML
  • Expertise in transformer architectures, reinforcement learning, and quantum machine learning
  • Experience securing federal or corporate research funding ($2M+)
  • Strong background in ethical AI development and bias mitigation
  • Patent portfolio with 5+ granted AI/quantum patents

Required Skills

AI Research Quantum Computing Machine Learning Neural Networks Generative AI Quantum Machine Learning Reinforcement Learning Research Leadership Patent Development Ethical AI

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