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AI Research Scientist - 2026 Vision Lab

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

Job Description

Join QuantumLeap Labs' prestigious 2026 Vision Lab, where we're pioneering the next frontier of artificial intelligence. As an AI Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to develop transformative AI systems that will redefine human capabilities by 2026. Our state-of-the-art facility in San Francisco offers unparalleled resources, including quantum computing access and neuro-interactive labs.

We're seeking visionary thinkers to lead breakthroughs in generative AI, autonomous systems, and human-AI symbiosis. This role includes competitive equity packages, unlimited R&D budget, and opportunities to publish in top-tier journals. Shape the future of technology while enjoying our award-winning wellness program and flexible work arrangements.

Responsibilities

  • Lead cutting-edge research in generative AI models and neural network architectures
  • Develop prototype AI systems for 2026-era autonomous vehicles and medical diagnostics
  • Collaborate with quantum computing teams to accelerate AI training processes
  • Author breakthrough publications in Nature/Science and present at global AI summits
  • Mentor PhD researchers and cross-functional engineering teams
  • Secure $5M+ in annual research grants through DARPA and NSF partnerships

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 5+ years industry experience
  • Published 15+ peer-reviewed papers in top-tier AI/ML conferences (NeurIPS, ICML, etc.)
  • Expertise in transformer architectures, diffusion models, and reinforcement learning
  • Proven track record of developing production-scale AI systems with real-world impact
  • Strong programming skills in Python, PyTorch, and distributed computing frameworks
  • Experience securing federal research grants and managing multi-million dollar budgets

Required Skills

Artificial Intelligence Machine Learning Deep Learning Neural Networks Quantum Computing Python PyTorch TensorFlow Research Generative AI Reinforcement Learning Distributed Systems

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