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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

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

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer breakthroughs that will define 2026 and beyond. We're seeking an innovative AI Research Scientist to architect next-generation machine learning systems that solve humanity's most complex challenges. In this role, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art San Francisco lab, pushing the boundaries of generative AI, quantum computing, and neural interfaces.

We offer unparalleled resources, competitive compensation, and the opportunity to shape the technological landscape of tomorrow. Our commitment to ethical innovation ensures your work creates measurable global impact while maintaining the highest standards of responsible AI development.

Responsibilities

  • Design and implement novel AI architectures for next-generation autonomous systems
  • Lead quantum machine learning research initiatives with 10+ qubit systems
  • Develop ethical frameworks for bias mitigation in generative AI models
  • Collaborate with cross-functional teams to commercialize research breakthroughs
  • Publish 2+ peer-reviewed papers annually in top-tier AI conferences
  • Mentor junior researchers and foster an innovation-first culture

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Expertise in transformer architectures, reinforcement learning, and quantum algorithms
  • Proficiency in PyTorch, TensorFlow, and quantum programming frameworks
  • Published record at NeurIPS/ICML/AAAI with 15+ citations per paper
  • Deep understanding of AI ethics and responsible development practices
  • Track record of translating research into production-scale systems

Required Skills

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

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