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AI Research Scientist - 2026 Innovations Lab

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join QuantumLeap Dynamics' revolutionary 2026 Innovations Lab, where we're redefining the boundaries of artificial intelligence. As an AI Research Scientist, you'll pioneer next-generation neural architectures and quantum-enhanced machine learning models that will shape the technological landscape of the coming decade. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform visionary concepts into breakthrough applications.

We seek a visionary researcher passionate about pushing the frontiers of AI. You'll collaborate with Nobel laureates and industry pioneers in an environment that encourages bold experimentation and rapid prototyping. This role offers competitive compensation, equity, and the opportunity to leave an indelible mark on the future of technology.

Responsibilities

  • Design and implement novel quantum-inspired AI algorithms for 2026-era applications
  • Lead cross-functional research initiatives in generative AI, neuromorphic computing, and ethical AI frameworks
  • Develop scalable ML pipelines processing petabyte-scale datasets
  • Author breakthrough research papers for top-tier AI conferences (NeurIPS, ICML, etc.)
  • Mentor junior researchers and contribute to open-source AI projects
  • Translate theoretical breakthroughs into production-ready solutions
  • Collaborate with product teams to commercialize research innovations

Qualifications

  • PhD in Computer Science, AI, or Quantum Computing with 3+ years of research experience
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum programming (Qiskit, Cirq)
  • Proven track record of publishing in top-tier AI conferences
  • Mastery of distributed computing and high-performance optimization
  • Strong background in ethical AI development and bias mitigation
  • Experience with large language model architectures (GPT-4, LLaMA, etc.)
  • Ability to communicate complex concepts to diverse stakeholders

Required Skills

AI Research Quantum Computing Machine Learning Deep Learning PyTorch TensorFlow Qiskit Generative AI Neuromorphic Computing NLP Computer Vision Distributed Systems

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