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AI Research Scientist 2026

NeuraTech Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Shape the future of artificial intelligence at NeuraTech Labs. We're seeking a pioneering AI Research Scientist to architect next-generation neural networks for our 2026 quantum computing initiative. Join our elite team of innovators pushing the boundaries of machine learning, computational neuroscience, and emergent AI ethics. This role offers unparalleled resources to transform theoretical concepts into breakthrough applications that will redefine industries.

Responsibilities

  • Design and implement advanced neural architectures for quantum-accelerated computing systems
  • Lead cross-disciplinary research initiatives in unsupervised learning and generative AI
  • Develop novel algorithms for real-time multimodal data processing in edge computing environments
  • Collaborate with quantum hardware engineers to optimize AI-quantum integration protocols
  • Author groundbreaking research publications and patents in top-tier AI/ML journals
  • Mentor junior researchers while establishing new industry benchmarks for AI performance

Qualifications

  • PhD in Computer Science, AI, Quantum Physics, or related field with 5+ years industry experience
  • Published research in NeurIPS/ICML/ICLR with 50+ citations in neural network optimization
  • Expertise in PyTorch/TensorFlow and quantum programming languages (Q#, Qiskit)
  • Proven track record of deploying production-level AI systems at scale (>10M users)
  • Deep understanding of transformer architectures, reinforcement learning, and federated learning
  • Strong background in computational complexity theory and quantum algorithm design
  • Certification in quantum machine learning from recognized institutions (e.g., IBM Quantum)

Required Skills

Quantum Computing Neural Networks Machine Learning PyTorch Qiskit Reinforcement Learning Generative AI Research

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