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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - 2026 Visionary

Nexus Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Shape the future of artificial intelligence at Nexus Dynamics. We're seeking a forward-thinking AI/ML Engineer to architect solutions that will define technological landscapes in 2026. Join our elite team developing next-gen neural networks and autonomous systems that bridge human cognition with machine intelligence. You'll work in a cutting-edge environment where your innovations directly impact industries from healthcare to quantum computing.

At Nexus Dynamics, we foster a culture of audacious innovation. You'll collaborate with Nobel laureates and Turing Award winners to push the boundaries of what's possible. Our Austin campus features state-of-the-art quantum computing labs and neuro-symbolic AI research facilities. We offer unparalleled growth opportunities, including dedicated research budgets and conference sponsorships for global AI forums.

Responsibilities

  • Design and implement advanced neural architectures for 2026-era autonomous systems
  • Develop quantum-ML hybrid models leveraging next-gen computing paradigms
  • Create ethical AI frameworks ensuring alignment with human values in 2026 contexts
  • Lead cross-disciplinary projects combining neuroscience and deep learning
  • Architect federated learning systems for distributed quantum networks
  • Pioneer human-AI symbiotic interfaces using neuro-symbolic approaches
  • Drive innovation in explainable AI for critical infrastructure applications

Qualifications

  • PhD or MS in Computer Science/AI with 5+ years industry experience
  • Expertise in transformer architectures and quantum machine learning frameworks
  • Proven track record deploying production-level neural-symbolic systems
  • Deep understanding of ethical AI governance and alignment techniques
  • Proficiency in PyTorch, TensorFlow Quantum, and quantum programming languages
  • Published research in top-tier AI/neuroscience conferences (NeurIPS, ICML, etc.)
  • Experience with neuromorphic computing and bio-inspired AI systems

Required Skills

Machine Learning Quantum Computing Neural Networks Deep Learning AI Ethics Python TensorFlow PyTorch Quantum Programming Neuro-Symbolic AI

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