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AI Research Scientist - 2026 Vision

QuantumLeap Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

Join QuantumLeap Dynamics at the forefront of 2026's technological revolution. We're seeking visionary AI Research Scientists to pioneer breakthroughs in neural networks, quantum computing integration, and human-AI symbiosis. Shape the future of intelligent systems in our state-of-the-art Austin lab, where your innovations will impact billions of lives globally.

What you'll achieve: Design next-generation AI architectures, publish groundbreaking research in top-tier journals, and collaborate with Nobel laureates. Enjoy unparalleled resources, flexible work arrangements, and a culture where curiosity fuels progress.

Responsibilities

  • Lead R&D projects on generative AI and predictive modeling for 2026-era applications
  • Develop novel algorithms for real-time data processing in quantum environments
  • Collaborate with cross-functional teams to prototype AI-driven solutions
  • Secure competitive funding through NSF and DARPA grant applications
  • Mentor junior researchers and publish 3+ peer-reviewed papers annually
  • Ensure ethical AI deployment through rigorous bias mitigation protocols
  • Patent at least two breakthrough AI methodologies per year

Qualifications

  • PhD in Computer Science, AI, or related field (or equivalent industry experience)
  • 5+ years in AI/ML research with published work in NeurIPS/ICML/ICLR
  • Expertise in transformer architectures, reinforcement learning, and quantum ML
  • Proficiency in Python, PyTorch, and distributed computing frameworks
  • Demonstrated success in securing competitive research grants
  • Strong background in AI ethics and responsible development practices
  • Experience with large-scale model training (≥1B parameters)
  • Ability to translate complex concepts into actionable research roadmaps

Required Skills

AI Research Machine Learning Quantum Computing Neural Networks Python PyTorch Reinforcement Learning Ethics Generative AI

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