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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Research Lead

NeuroTech Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join NeuroTech Dynamics at the forefront of technological evolution as we pioneer the next generation of AI systems for 2026. We're seeking a visionary AI Research Lead to architect transformative solutions that will redefine human-machine interaction. This role demands a blend of deep technical expertise and strategic foresight to navigate the rapidly evolving landscape of artificial intelligence. You'll lead a multidisciplinary team in developing cutting-edge neural networks, ethical AI frameworks, and adaptive learning systems that will power our 2026 product roadmap.

Responsibilities

  • Architect and lead advanced AI research initiatives focused on 2026 technological horizons
  • Mentor a cross-functional team of ML engineers, data scientists, and domain experts
  • Develop ethical AI governance frameworks ensuring alignment with global standards
  • Collaborate with product teams to translate research into commercial applications
  • Drive innovation in explainable AI, quantum computing integration, and edge AI
  • Secure federal and private research funding through compelling proposals
  • Represent NeuroTech at international AI conferences and policy forums

Qualifications

  • PhD in Computer Science, AI, or related field with 8+ years industry experience
  • Proven track record of publishing in top-tier AI/ML conferences (NeurIPS, ICML, etc.)
  • Expertise in transformer architectures, reinforcement learning, and federated learning
  • Strong background in AI ethics, bias mitigation, and responsible AI development
  • Experience leading research teams with demonstrated impact on commercial products
  • Proficiency in PyTorch, TensorFlow, and distributed computing frameworks
  • Exceptional strategic thinking with ability to forecast 5-10 year technology trends

Required Skills

Artificial Intelligence Machine Learning Research Leadership Neural Networks Ethics Quantum Computing Strategic Planning Team Leadership

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