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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

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

Job Description

Join NeuroSphere Labs at the forefront of artificial intelligence innovation. We're seeking a visionary AI Research Scientist to architect breakthrough solutions for 2026 and beyond. Our Austin-based team operates at the intersection of quantum computing, neural networks, and predictive analytics to redefine technological boundaries. You'll collaborate with Nobel laureates and industry pioneers in a hyper-growth environment where your ideas become reality.

We offer competitive equity packages, unlimited R&D budgets, and access to our quantum-optimized research facilities. This role requires deep technical expertise and the ability to translate complex algorithms into transformative products.

Responsibilities

  • Design and implement novel AI architectures using quantum-enhanced machine learning frameworks
  • Lead cross-functional research initiatives in generative AI and autonomous systems
  • Develop predictive models for 2026+ technological adoption patterns
  • Author groundbreaking publications in top-tier AI journals and conferences
  • Mentor junior researchers and establish new industry benchmarks
  • Collaborate with hardware engineers to optimize AI-quantum integration
  • Secure $5M+ in federal and corporate research grants annually

Qualifications

  • PhD in Computer Science, AI, or Quantum Computing with 5+ years industry experience
  • Published research in NeurIPS, ICML, or Nature Machine Intelligence
  • Expertise in transformer architectures and quantum machine learning
  • Proficiency in PyTorch, TensorFlow, and quantum programming languages
  • Track record of deploying production-grade AI systems at scale
  • Deep understanding of ethical AI frameworks and bias mitigation
  • Experience securing government and DARPA research funding

Required Skills

Machine Learning Quantum Computing Neural Networks PyTorch TensorFlow Predictive Analytics Generative AI Research Methodology Quantum Programming

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