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AI Research Scientist (2026 Vision)

Quantum Leap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Quantum Leap Labs at the forefront of 2026's technological revolution. We're seeking visionary AI Research Scientists to pioneer breakthroughs in generative intelligence and autonomous systems. Shape the future of human-machine interaction while working in our state-of-the-art innovation hub in San Francisco. Enjoy competitive compensation, cutting-edge resources, and the opportunity to collaborate with Nobel laureates and industry pioneers.

Why Quantum Leap Labs?
• Industry-leading R&D budget of $50M+ annually
• Patent portfolio with 200+ AI/ML innovations
• Flexible hybrid work model with global collaboration opportunities

Responsibilities

  • Design and implement next-generation neural architectures for 2026-era applications
  • Lead cross-functional projects integrating quantum computing with classical AI systems
  • Develop ethical frameworks for autonomous decision-making algorithms
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor junior researchers in emerging AI paradigms
  • Collaborate with product teams to commercialize research findings
  • Stay ahead of regulatory developments in AI governance

Qualifications

  • PhD in Computer Science, AI, or related field (or equivalent experience)
  • 5+ years in applied AI research with 2+ years in generative models
  • Expertise in transformer architectures and distributed ML systems
  • Published work in NeurIPS/ICML/ICLR or equivalent tier conferences
  • Proficiency in PyTorch/TensorFlow and high-performance computing
  • Strong understanding of quantum machine learning fundamentals
  • Track record of translating research into production systems
  • Experience with AI ethics frameworks and bias mitigation

Required Skills

Machine Learning Deep Learning Neural Networks Quantum Computing PyTorch TensorFlow Generative AI Distributed Systems AI Ethics Research Methodology

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