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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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 2026's technological revolution. We're pioneering AI-driven solutions that redefine industries and shape tomorrow's landscape. As an AI Research Scientist, you'll collaborate with world-class innovators to develop breakthrough neural architectures and quantum-entangled learning models. Our state-of-the-art facility offers unparalleled resources to transform theoretical concepts into real-world applications that impact billions. We value intellectual curiosity as much as technical excellence, providing flexible work arrangements and comprehensive benefits including equity participation in our moonshot projects.

Responsibilities

  • Design and implement novel deep learning architectures for next-generation AI systems
  • Lead cross-functional research initiatives combining quantum computing and machine learning
  • Develop ethical AI frameworks ensuring alignment with 2026's regulatory standards
  • Publish breakthrough findings in top-tier journals and present at global tech conferences
  • Mentor junior researchers while fostering an inclusive innovation culture
  • Translate complex research into scalable commercial applications

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Expertise in transformer architectures, reinforcement learning, and federated learning
  • Published record in NeurIPS/ICML/CVPR with 15+ citations
  • Proficiency in PyTorch, TensorFlow, and quantum programming frameworks
  • Proven ability to lead research teams from concept to production
  • Deep understanding of AI ethics and responsible AI principles
  • Strong collaboration skills with technical and non-technical stakeholders

Required Skills

AI Research Machine Learning Deep Learning Quantum Computing Neural Networks PyTorch TensorFlow Reinforcement Learning Ethics in AI

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