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AI Research Scientist 2026

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

Job Description

Join QuantumLeap Labs at the forefront of technological evolution as we pioneer breakthrough AI systems for 2026 and beyond. We seek visionary AI Research Scientists to develop next-generation neural architectures that will redefine human-machine interaction. This role offers unparalleled opportunities to shape the future of artificial intelligence while working with world-class researchers in our state-of-the-art facility.

Our team operates at the intersection of quantum computing, neuromorphic engineering, and generative AI to create self-evolving systems. You'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges through ethical AI innovation.

Responsibilities

  • Design and implement novel neural network architectures for quantum-accelerated computing environments
  • Lead research initiatives in generative adversarial networks and unsupervised learning paradigms
  • Develop ethical AI frameworks ensuring alignment with human values and regulatory compliance
  • Publish breakthrough findings in top-tier journals (Nature, Science, NeurIPS)
  • Mentor junior researchers and cross-functional engineering teams
  • Secure $5M+ in research grants from NSF, DARPA, and private foundations

Qualifications

  • PhD in Computer Science, Mathematics, or Physics with 5+ years of AI research experience
  • Proven track record of publishing in top-tier AI/ML conferences (ICML, CVPR, ICLR)
  • Expertise in quantum machine learning and neuromorphic computing
  • Strong background in transformer architectures and diffusion models
  • Experience with large-scale distributed training frameworks (PyTorch, TensorFlow)
  • Demonstrated ability to secure competitive research funding
  • Published work on AI ethics and alignment techniques

Required Skills

Machine Learning Quantum Computing Neural Networks Research Deep Learning Python PyTorch TensorFlow Ethics Generative AI

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