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AI Research Scientist - 2026 Visionary

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

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an AI Research Scientist to architect transformative machine learning systems that will redefine industries. In this role, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art San Francisco campus, leveraging $50M+ in dedicated R&D resources. Our team operates at the intersection of quantum computing, neuromorphic engineering, and generative AI to solve humanity's most complex challenges.

We offer unparalleled benefits including equity grants, unlimited learning stipends, and flexible remote work options. The ideal candidate thrives in ambiguity and is passionate about creating ethical AI frameworks that align with human values.

Responsibilities

  • Design and implement novel AI architectures for next-generation autonomous systems
  • Lead research initiatives in quantum machine learning and neuromorphic computing
  • Develop ethical AI frameworks compliant with 2026 global regulatory standards
  • Collaborate with cross-functional teams to prototype and validate breakthrough models
  • Publish peer-reviewed research and secure patents for pioneering methodologies
  • Mentor junior researchers and foster an innovation-first culture
  • Translate theoretical concepts into production-ready solutions with measurable impact

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Published record in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Expertise in transformer architectures, reinforcement learning, and quantum algorithms
  • Proficiency in distributed ML frameworks (PyTorch, TensorFlow Quantum)
  • Strong background in ethical AI design and bias mitigation
  • Experience with neuromorphic hardware (Loihi, Intel Hala Point)
  • Demonstrated ability to secure $1M+ in research funding
  • Portfolio of deployed systems serving >1M users

Required Skills

Machine Learning Quantum Computing Neuromorphic Engineering Ethical AI Reinforcement Learning Distributed Systems Research Leadership Patent Development

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