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AI Research Scientist - 2026 Vision Lab

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Innovations' pioneering 2026 Vision Lab, where we're architecting the next frontier of artificial intelligence. As an AI Research Scientist, you'll lead breakthrough research in quantum machine learning and neural-symbolic integration to shape the technological landscape of tomorrow. Our Austin-based hub offers unparalleled resources and collaborative freedom to transform theoretical concepts into real-world innovations that will define the post-2025 era.

We provide competitive equity packages, flexible hybrid work arrangements, and access to our state-of-the-art research facilities. This is your opportunity to work alongside Nobel laureates and Turing Award winners while solving humanity's most complex challenges.

Responsibilities

  • Design and implement novel quantum neural network architectures for 2026-era computational challenges
  • Lead cross-functional teams in developing ethical AI frameworks for next-generation autonomous systems
  • Produce peer-reviewed publications in top-tier conferences (NeurIPS, ICML, ICLR) with 2026 impact focus
  • Translate theoretical breakthroughs into scalable prototypes for commercial and scientific applications
  • Mentor junior researchers and establish industry partnerships for collaborative innovation
  • Drive patent development for proprietary AI methodologies with 10+ year market potential

Qualifications

  • PhD in Computer Science, Mathematics, or Physics with 5+ years of AI research experience
  • Published record in quantum computing or neural-symbolic integration (NeurIPS/ICML papers)
  • Proficiency in PyTorch/TensorFlow with quantum computing libraries (Cirq, Qiskit)
  • Demonstrated ability to secure $1M+ in research grants or corporate innovation funding
  • Expertise in ethical AI governance frameworks with regulatory foresight to 2026
  • Track record of commercializing AI technologies (patents or acquired products)
  • Fluency in multi-modal AI systems (vision, language, sensor fusion)

Required Skills

Quantum Machine Learning Neural-Symbolic AI PyTorch Qiskit Research Leadership Ethical AI Grant Writing Multi-Modal Systems

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