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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of technological innovation as we pioneer the next generation of AI systems for 2026. We're seeking a visionary AI Research Scientist to develop breakthrough solutions that will reshape industries and human experiences. Our cutting-edge lab combines quantum computing, neural networks, and ethical AI frameworks to solve humanity's most complex challenges.

As a key member of our research team, you'll collaborate with Nobel laureates, industry disruptors, and open-source pioneers to create scalable AI architectures. We offer unparalleled resources including quantum access, 10,000+ GPU clusters, and a $50M annual research budget. Your work will directly impact products used by 500M+ users worldwide.

Responsibilities

  • Design and implement novel neural network architectures for quantum-classical hybrid systems
  • Lead research in explainable AI and ethical algorithm development for 2026 deployment
  • Publish breakthrough findings in Nature/Science journals and top-tier AI conferences
  • Develop proprietary frameworks for real-time multimodal data processing
  • Mentor cross-functional teams of engineers and researchers
  • Secure $5M+ in government/private research grants
  • Architect production-ready AI systems with 99.999% reliability

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Published 10+ papers in NeurIPS/ICML/ICLR with 500+ citations
  • Expertise in quantum machine learning and neuromorphic computing
  • Proficiency in Python, TensorFlow/PyTorch, and quantum programming languages
  • Proven track record of deploying AI systems at billion-user scale
  • Strong background in ethical AI frameworks and bias mitigation
  • Experience with distributed computing frameworks (Kubernetes, Spark)

Required Skills

Machine Learning Deep Learning Quantum Computing Neural Networks TensorFlow PyTorch Python Quantum Algorithms Ethical AI Distributed Systems

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