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AI Research Scientist (2026)

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the future of artificial intelligence at QuantumLeap Dynamics, where we're pioneering breakthroughs that will redefine industries by 2026. As our AI Research Scientist, you'll lead cutting-edge projects in generative AI, quantum computing integration, and ethical AI frameworks. Join our elite team in San Francisco and contribute to solutions that will impact billions of lives globally.

We offer unparalleled resources, including our state-of-the-art Quantum Neural Lab and partnerships with MIT and Stanford. Your work will directly influence our roadmap for 2026, ensuring our position at the forefront of technological innovation.

Responsibilities

  • Design and implement novel AI algorithms for quantum-enhanced machine learning systems
  • Lead cross-functional teams in developing ethical AI frameworks aligned with 2026 industry standards
  • Publish groundbreaking research in top-tier AI/ML conferences and journals
  • Collaborate with product teams to translate research into scalable commercial solutions
  • Drive innovation in generative AI applications for healthcare and climate modeling
  • Mentor junior researchers and establish best practices for AI reproducibility
  • Secure $5M+ in government and private research grants

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in quantum machine learning and transformer architectures
  • Proven track record of publishing in NeurIPS/ICML/ICLR with 20+ citations
  • Strong programming skills in Python, TensorFlow, and PyTorch
  • Deep understanding of ethical AI principles and bias mitigation
  • Experience securing federal research grants (NSF, DARPA)
  • Leadership in open-source AI projects with 10k+ GitHub stars

Required Skills

Machine Learning Quantum Computing TensorFlow Ethical AI Generative AI Research Leadership Python TensorFlow PyTorch Grant Writing

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