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AI Research Scientist - 2026 Vision Lab

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join our elite 2026 Vision Lab at QuantumLeap Technologies, where we're pioneering the next frontier of artificial intelligence. As an AI Research Scientist, you'll architect breakthrough models that will redefine human-machine interaction by 2026. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility overlooking the Bay. We offer unparalleled resources, including quantum computing access and exclusive datasets from NASA and CERN. Your work will directly shape the future of autonomous systems, personalized medicine, and sustainable energy solutions. Enjoy flexible schedules, unlimited PTO, and equity in a company valued at $2B+.

Responsibilities

  • Lead cutting-edge research in neural architecture optimization for 2026-era applications
  • Develop novel algorithms for quantum-AI hybrid computing systems
  • Author peer-reviewed publications in top-tier journals (Nature, Science, NeurIPS)
  • Mentor PhD candidates and junior researchers in our accelerator program
  • Secure $5M+ in annual research grants from NSF and DARPA
  • Translate theoretical breakthroughs into production-ready prototypes
  • Present findings at global tech summits including Web Summit and AI World Congress

Qualifications

  • PhD in Computer Science, AI, or Quantum Physics (or equivalent experience)
  • 5+ years publishing in top-tier AI/ML conferences (ICML, CVPR, ICLR)
  • Expertise in transformer architectures and federated learning
  • Proficiency with PyTorch, TensorFlow, and quantum programming frameworks
  • Demonstrated ability to secure competitive research grants
  • Track record of developing patents with commercial applications
  • Experience with neuromorphic computing and biologically-inspired AI

Required Skills

AI Research Machine Learning Quantum Computing Neural Networks Deep Learning Python PyTorch TensorFlow Research Grants Academic Publishing

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