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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

QuantumLeap Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join QuantumLeap Dynamics at the forefront of 2026's technological revolution as an AI Research Scientist. We're pioneering quantum-inspired neural networks and ethical AI frameworks that will redefine human-machine collaboration. In this pivotal role, you'll architect next-generation AI systems while ensuring alignment with emerging global AI governance standards.

Our Austin innovation hub offers cutting-edge labs, flexible work arrangements, and unparalleled opportunities to publish breakthrough research. You'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges—from climate modeling to personalized medicine.

We provide competitive equity, comprehensive benefits including teleportation wellness stipends, and a commitment to work-life harmony. Your work will directly shape the AI landscape of 2026 and beyond.

Responsibilities

  • Design and implement quantum-enhanced machine learning architectures for real-world applications
  • Lead cross-functional teams to integrate AI solutions with IoT and metaverse ecosystems
  • Pioneer ethical AI frameworks compliant with 2026 global regulatory standards
  • Develop patentable algorithms for autonomous systems and predictive analytics
  • Present findings at premier conferences (NeurIPS, ICML, FutureTech Summit 2026)
  • Mentor junior researchers and foster innovation through quantum computing access
  • Collaborate with government bodies on AI policy development and safety protocols

Qualifications

  • PhD in Computer Science, Quantum Computing, or related field with 3+ years industry experience
  • Expertise in quantum machine learning, neuromorphic computing, or federated learning
  • Proficiency in Python, TensorFlow Quantum, and emerging AI frameworks
  • Publication record in top-tier AI/quantum journals (Nature, Science, IEEE)
  • Deep understanding of 2026 AI ethics frameworks and regulatory landscapes
  • Experience with large-scale distributed computing and edge AI deployment
  • Strong background in theoretical physics or computational neuroscience preferred

Required Skills

Quantum Computing Machine Learning Neuromorphic AI Ethics Frameworks TensorFlow Quantum Python Distributed Systems Predictive Analytics IoT Integration

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