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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

Join QuantumLeap Technologies at the forefront of artificial intelligence innovation. We're pioneering breakthroughs in quantum-entangled machine learning and autonomous systems that will redefine industries by 2026. Our San Francisco hub combines cutting-edge research with agile development, offering unparalleled resources to transform theoretical concepts into real-world applications.

We seek visionary researchers to collaborate with Nobel laureates and industry disruptors. Enjoy flexible work arrangements, equity packages, and access to our state-of-the-art quantum computing lab. Your work will directly impact the next generation of AI solutions used by Fortune 500 companies worldwide.

Responsibilities

  • Design and implement novel neural architectures leveraging quantum computing principles
  • Lead cross-functional teams in developing ethical AI frameworks for autonomous systems
  • Publish breakthrough research in top-tier journals and conferences (NeurIPS, ICML, etc.)
  • Collaborate with product teams to translate research into production-ready solutions
  • Mentor junior researchers and foster a culture of scientific excellence
  • Secure patents and protect intellectual property for proprietary AI methodologies
  • Stay ahead of emerging trends in generative AI and multimodal learning

Qualifications

  • PhD in Computer Science, AI, or Quantum Physics with 3+ years industry experience
  • Proven track record of publishing in top-tier AI/ML conferences
  • Expertise in PyTorch/TensorFlow and quantum programming languages (Qiskit, Cirq)
  • Deep understanding of transformer architectures and generative adversarial networks
  • Experience with large-scale distributed training on HPC clusters
  • Strong background in AI ethics and responsible AI development practices
  • Ability to communicate complex concepts to both technical and non-technical stakeholders

Required Skills

Machine Learning Deep Learning Quantum Computing Neural Networks Python TensorFlow PyTorch Research Ethics Generative AI

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