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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
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of 2026's technological revolution. We're pioneering next-generation AI systems that will redefine human-machine interaction. As an AI Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to develop breakthrough neural architectures. Our state-of-the-art lab in San Francisco offers unparalleled resources including quantum computing access and petabyte-scale datasets. If you dream of solving humanity's grandest challenges through artificial intelligence, this is your moment.

We offer competitive equity packages, flexible hybrid work arrangements, and dedicated research budgets. Our culture celebrates intellectual curiosity and embraces failure as a catalyst for innovation. Join us to shape the future of artificial intelligence.

Responsibilities

  • Design and implement novel neural network architectures for next-generation AI systems
  • Lead cutting-edge research in quantum-enhanced machine learning algorithms
  • Collaborate with cross-functional teams to commercialize breakthrough research
  • Publish findings in top-tier AI conferences and peer-reviewed journals
  • Develop ethical frameworks for responsible AI deployment in critical infrastructure
  • Mentor junior researchers and foster innovation through internal hackathons
  • Secure government and private research grants for advanced AI projects

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 5+ years industry experience
  • Expertise in transformer architectures and quantum machine learning principles
  • Proven track record of publishing at NeurIPS/ICML/CVPR with 15+ citations
  • Proficiency in PyTorch/TensorFlow with distributed training optimization skills
  • Strong background in computational neuroscience and cognitive architectures
  • Demonstrated ability to translate theoretical research into scalable production systems
  • Experience securing DARPA or NSF grants for AI research initiatives

Required Skills

Machine Learning Deep Learning Quantum Computing Neural Networks PyTorch TensorFlow Research Ethics Distributed Systems Computational Neuroscience

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