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AI Research Scientist (2026 Vision)

QuantumLeap Innovations
Austin
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join QuantumLeap Innovations at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek an exceptional AI Research Scientist to architect next-generation artificial intelligence systems that will redefine industries. This role offers unparalleled opportunities to work with quantum computing hybrids, neuro-symbolic AI, and autonomous decision-making frameworks in a collaborative, future-focused environment.

Our Austin-based R&D hub provides state-of-the-art facilities and interdisciplinary teams dedicated to solving humanity's most pressing challenges. We offer competitive compensation, comprehensive benefits, and a culture that celebrates intellectual curiosity and bold innovation.

Responsibilities

  • Lead research in advanced AI paradigms including quantum machine learning and explainable AI
  • Develop novel algorithms for autonomous systems and predictive analytics
  • Collaborate with cross-functional teams to integrate research findings into scalable products
  • Publish peer-reviewed papers and present findings at top-tier conferences
  • Secure research grants and partnerships with academic institutions
  • Mentor junior researchers and foster a culture of continuous learning

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years of industry experience
  • Proven expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum computing principles
  • Strong publication record in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Proficiency in Python, C++, and high-performance computing environments
  • Demonstrated ability to translate complex theoretical concepts into practical solutions
  • Experience with large-scale distributed systems and MLOps
  • Exceptional problem-solving skills and innovative thinking

Required Skills

AI Research Machine Learning Quantum Computing Deep Learning Python TensorFlow PyTorch Algorithm Development Data Science Neural Networks

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