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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

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

Job Description

Join QuantumLeap Technologies at the forefront of 2026's AI revolution. We're pioneering next-generation neural networks that will redefine human-machine interaction. As a key member of our innovation lab, you'll collaborate with Nobel laureates and disruptors to build ethical, scalable AI solutions that solve humanity's grandest challenges. Our San Francisco campus offers unparalleled resources—including quantum computing access and immersive VR labs—to accelerate breakthrough research.

Responsibilities

  • Design and implement novel deep learning architectures for real-time decision-making systems
  • Lead cross-functional projects combining quantum computing with classical machine learning
  • Develop ethical AI frameworks ensuring alignment with human values and regulatory standards
  • Publish groundbreaking research in top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Mentor junior researchers while fostering a culture of intellectual curiosity
  • Collaborate with product teams to translate theoretical models into commercial applications
  • Secure $5M+ in government/private grants for 2026-focused research initiatives

Qualifications

  • PhD in Computer Science/AI or equivalent with 5+ years industry research experience
  • Published 10+ peer-reviewed papers in top-tier AI/ML conferences
  • Expertise in transformer architectures, reinforcement learning, and generative models
  • Proficiency in PyTorch/TensorFlow with distributed training optimization
  • Track record of translating research into production-level systems serving 1M+ users
  • Strong background in AI ethics, bias mitigation, and regulatory compliance (GDPR, CCPA)
  • Experience securing federal research grants (NSF, DARPA, NIH)
  • Fluency in Python, C++, and cloud-native deployment (AWS/GCP)

Required Skills

Machine Learning Deep Learning Quantum Computing Neural Networks PyTorch TensorFlow Research Ethics Grant Writing Distributed Systems

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