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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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

Job Description

Join QuantumLeap Labs at the forefront of 2026's AI revolution! We're seeking visionary AI Research Scientists to develop next-generation machine learning models that will redefine human-computer interaction. Our Austin-based innovation hub offers unparalleled resources to transform theoretical breakthroughs into real-world applications. Collaborate with Nobel laureates and pioneer algorithms that power autonomous systems, predictive analytics, and quantum computing interfaces. This is your chance to shape the technological landscape of tomorrow.

Responsibilities

  • Design and implement cutting-edge neural architectures for 2026-era AI applications
  • Lead research initiatives in quantum-enhanced machine learning algorithms
  • Develop ethical AI frameworks ensuring bias mitigation and transparency
  • Collaborate with hardware engineers to optimize AI models for quantum processors
  • Publish breakthrough research in top-tier AI conferences and journals
  • Mentor junior researchers and cross-functional innovation teams
  • Secure patents for novel AI methodologies and computational techniques

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years developing production-level AI/ML systems at scale
  • Expertise in quantum machine learning and hybrid classical-quantum algorithms
  • Published research in NeurIPS, ICML, or equivalent tier conferences
  • Proficiency in PyTorch, TensorFlow, and quantum computing frameworks
  • Demonstrated experience with large-scale distributed computing environments
  • Strong background in theoretical computer science and statistical modeling
  • Passion for ethical AI development and responsible innovation

Required Skills

Machine Learning Quantum Computing Neural Networks Python TensorFlow PyTorch Research AI Ethics Distributed Systems Statistical Modeling

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