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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join QuantumLeap Dynamics at the forefront of artificial intelligence innovation. We're seeking visionary AI Research Scientists to develop breakthrough solutions that will redefine industries by 2026. Our interdisciplinary team leverages quantum computing, neural networks, and sustainable AI to tackle humanity's greatest challenges. Enjoy unparalleled resources, cutting-edge facilities, and a culture that celebrates bold ideas.

What You'll Achieve:

  • Lead pioneering research in generative AI and quantum machine learning
  • Collaborate with Nobel laureates and industry pioneers
  • Shape ethical AI frameworks for global deployment
  • Transform theoretical concepts into commercial applications

Responsibilities

  • Design and implement novel AI algorithms for predictive modeling and autonomous systems
  • Publish groundbreaking research in top-tier journals and conferences
  • Lead cross-functional projects combining quantum computing and neural networks
  • Develop scalable AI solutions for climate modeling and healthcare diagnostics
  • Mentor junior researchers and drive innovation workshops
  • Secure patents and intellectual property for AI methodologies
  • Partner with product teams to translate research into market-ready solutions

Qualifications

  • PhD in Computer Science, Machine Learning, or related field
  • 5+ years of experience in advanced AI research
  • Expertise in quantum computing frameworks (Qiskit, Cirq)
  • Published record in NeurIPS/ICML/ICLR proceedings
  • Proficiency in Python, TensorFlow, and PyTorch
  • Strong background in ethical AI and bias mitigation
  • Experience with large-scale distributed computing systems
  • Proven ability to secure research funding (NSF, DARPA, etc.)

Required Skills

Machine Learning Quantum Computing Python TensorFlow PyTorch Neural Networks Research Ethics Predictive Modeling

Ready to Take This Challenge?

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