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AI Research Scientist - 2026 Innovation Lab

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join QuantumLeap Dynamics' revolutionary 2026 Innovation Lab, where we're pioneering the next generation of artificial intelligence systems. As an AI Research Scientist, you'll architect breakthrough models that will shape human-machine interaction for the next decade. We're seeking visionary minds to develop autonomous reasoning frameworks, ethical AI governance protocols, and quantum-entangled neural networks. Our state-of-the-art facility in San Francisco offers unparalleled resources and a culture of relentless innovation.

At QuantumLeap, you'll collaborate with Nobel laureates and Turing Award winners to push beyond current AI limitations. We offer competitive compensation, unlimited PTO, and a $20,000 annual innovation stipend for personal research projects. This role includes equity participation in our moonshot ventures.

Responsibilities

  • Design and implement novel AI architectures for autonomous decision-making systems
  • Lead cross-functional teams in developing ethical AI governance frameworks
  • Publish breakthrough research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Develop quantum-entangled neural network prototypes
  • Create patent-pending algorithms for explainable AI (XAI) systems
  • Mentor junior researchers in advanced deep learning techniques
  • Collaborate with futurists to define 2026+ AI roadmaps

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 5+ years industry experience
  • Published research in top-tier AI/ML conferences (minimum 5 papers)
  • Expertise in transformer architectures, reinforcement learning, and quantum computing
  • Proven track record of deploying production-grade AI systems at scale
  • Familiarity with ethical AI frameworks and responsible AI development
  • Experience with distributed ML frameworks (PyTorch, TensorFlow, JAX)
  • Strong background in theoretical computer science and computational complexity

Required Skills

AI Research Machine Learning Deep Learning Quantum Computing Neural Networks Ethics Transformers Reinforcement Learning PyTorch TensorFlow JAX Distributed Systems

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