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2026 AI Research Scientist

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

Job Description

Join QuantumLeap Labs at the forefront of 2026's AI revolution! We're seeking a pioneering AI Research Scientist to architect next-generation machine learning systems that will redefine technological boundaries. In this role, you'll collaborate with Nobel laureates and industry disruptors to develop scalable AI solutions for autonomous systems, quantum computing integration, and ethical AI frameworks.

Our state-of-the-art San Francisco campus offers unparalleled resources for innovation, including quantum processors and petabyte-scale datasets. You'll lead projects with global impact while enjoying competitive compensation, flexible work arrangements, and opportunities to publish in top-tier journals.

Responsibilities

  • Design and implement novel AI architectures for 2026-era autonomous systems
  • Lead cross-functional research initiatives integrating quantum computing with neural networks
  • Develop ethical AI governance frameworks aligned with future regulatory landscapes
  • Publish breakthrough research in top-tier AI conferences and journals
  • Mentor junior researchers and foster collaborative innovation culture
  • Translate theoretical research into scalable production-grade systems
  • Secure external funding through NSF and DARPA grant proposals

Qualifications

  • PhD in Computer Science, AI, or Quantum Computing with 3+ years industry experience
  • Published research in NeurIPS, ICML, or equivalent tier-1 AI conferences
  • Expertise in transformer architectures, reinforcement learning, and quantum machine learning
  • Proficiency in PyTorch, TensorFlow, and quantum programming frameworks
  • Experience leading AI projects with $1M+ budgets and cross-continental teams
  • Strong track record of deploying production-grade AI systems at scale
  • Demonstrated understanding of 2026 AI regulatory and ethical challenges

Required Skills

Quantum Computing AI Research Machine Learning Neural Networks Ethical AI Quantum Algorithms Reinforcement Learning PyTorch

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