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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
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek an AI Research Scientist to architect next-generation neural networks that will redefine human-machine interaction. In this pivotal role, you'll collaborate with Nobel laureates and Silicon Valley visionaries to develop quantum-resistant algorithms and ethical AI frameworks that will shape the decade's most critical breakthroughs. Our state-of-the-art facility in San Francisco offers unparalleled resources for turning theoretical concepts into transformative realities.

Responsibilities

  • Design and implement advanced machine learning models for autonomous systems and predictive analytics
  • Lead cross-functional research initiatives in quantum computing integration and neural-symbolic AI
  • Develop ethical frameworks for AI governance and bias mitigation in high-stakes environments
  • Publish breakthrough research in top-tier journals and present at global tech summits
  • Mentor junior researchers and establish new benchmarks in computational efficiency
  • Collaborate with product teams to translate research into scalable commercial solutions

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 3+ years industry experience
  • Published record in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Expertise in transformer architectures, reinforcement learning, and quantum machine learning
  • Proficiency in PyTorch, TensorFlow, and distributed computing frameworks
  • Demonstrated ability to lead complex research projects from ideation to implementation
  • Strong background in AI ethics, fairness, and explainable AI methodologies
  • Experience with MLOps pipelines and productionizing AI systems at scale

Required Skills

AI Research Machine Learning Quantum Computing Neural Networks Ethics PyTorch TensorFlow

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