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AI Research Scientist - 2026 Vision Lab

Quantum Leap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join our pioneering 2026 Vision Lab at Quantum Leap Dynamics, where we're architecting the next generation of artificial intelligence solutions. We're seeking a visionary AI Research Scientist to develop breakthrough algorithms that will redefine human-machine interaction by 2026. This role offers unparalleled opportunities to collaborate with Nobel laureates and publish in top-tier journals while shaping the future of autonomous systems.

Our state-of-the-art facility in San Francisco's tech hub provides an unparalleled environment for innovation, with dedicated quantum computing resources and a $50M annual research budget. You'll lead projects that bridge theoretical breakthroughs with real-world applications in healthcare, climate modeling, and personalized AI assistants.

Responsibilities

  • Design and implement novel AI architectures for 2026-era autonomous systems
  • Lead cross-functional teams in developing next-gen NLP and computer vision models
  • Publish groundbreaking research in top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Collaborate with quantum computing specialists to hybridize classical and quantum algorithms
  • Translate theoretical models into scalable production systems serving 10M+ users
  • Mentor junior researchers and secure $2M+ in annual research grants
  • Define ethical frameworks for 2026-era AI deployment and bias mitigation

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Published 20+ papers in top-tier AI conferences or journals
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and distributed computing
  • Proven track record of shipping production AI systems serving >1M users
  • Strong background in quantum machine learning or neuromorphic computing
  • Experience securing DARPA or NSF research grants
  • Proficiency in Python, C++, and high-performance computing environments
  • Demonstrated ability to lead multi-disciplinary research teams

Required Skills

Machine Learning Deep Learning Quantum Computing NLP Computer Vision PyTorch TensorFlow Research Leadership Grant Writing Distributed Systems

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