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AI Research Scientist (2026 Vision)

Nexus Dynamics Inc.
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Shape the Future of AI at Nexus Dynamics Inc. – Where Tomorrow's Technology Becomes Today's Reality. We're seeking a visionary AI Research Scientist to lead groundbreaking projects that will redefine industries by 2026. Join our elite team in Austin's innovation hub and work with cutting-edge quantum computing, neuromorphic engineering, and ethical AI frameworks.

Our state-of-the-art research lab offers unparalleled resources, including access to exascale computing clusters and partnerships with MIT, Stanford, and NASA. You'll collaborate with Nobel laureates and publish in top-tier journals while developing the next generation of autonomous systems.

Why Nexus Dynamics? We offer industry-leading equity packages, flexible hybrid work, and $10,000 annual learning stipends. Our culture celebrates bold experimentation – failure is celebrated as data, and every breakthrough changes lives.

Responsibilities

  • Design and prototype next-gen AI architectures for 2026 deployment
  • Lead cross-functional teams in developing quantum-enhanced ML models
  • Author peer-reviewed research on ethical AI and bias mitigation
  • Collaborate with governments on AI policy frameworks
  • Develop neuromorphic computing solutions for real-time inference
  • Mentor PhD candidates and publish 3+ annual papers
  • Secure $5M+ in annual research grants from DARPA/NSF

Qualifications

  • PhD in Computer Science/AI with 5+ years research experience
  • Published work in NeurIPS/ICML/AAAI with >500 citations
  • Expertise in transformer architectures and quantum machine learning
  • Proficiency in PyTorch, TensorFlow, and quantum programming
  • Experience securing federal research grants
  • Deep understanding of EU AI Act and global regulatory landscapes
  • Portfolio demonstrating 2026-relevant AI applications

Required Skills

Artificial Intelligence Quantum Computing Neuromorphic Engineering Machine Learning Research Ethical AI Quantum ML Policy Frameworks

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