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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Innovation Lead

FutureForge Dynamics
Austin
Estimated Salary
USD 185.000 – USD 275.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join FutureForge Dynamics at the forefront of technological evolution. We're seeking an AI/ML Innovation Lead to architect transformative solutions for our 2026 roadmap. This role demands a visionary who can bridge cutting-edge research with practical applications in quantum computing, neuromorphic systems, and generative AI. You'll lead a cross-functional team to develop next-generation AI frameworks while ensuring ethical deployment and scalability. Our Austin hub offers unparalleled resources, including a state-of-the-art quantum lab and partnership with UT Austin's robotics institute. This is your chance to shape how humanity interacts with intelligent systems in the coming decade.

Responsibilities

  • Architect and deploy production-ready AI/ML pipelines for 2026-era applications
  • Lead research initiatives in quantum machine learning and neuromorphic computing
  • Mentor cross-functional teams in AI ethics and responsible implementation
  • Develop strategic partnerships with academic institutions and tech pioneers
  • Translate complex technical concepts into actionable business roadmaps
  • Drive innovation in generative AI for personalized human-AI interaction
  • Ensure compliance with evolving global AI regulatory frameworks

Qualifications

  • PhD or equivalent experience in AI/ML with 5+ years in production environments
  • Expertise in quantum computing algorithms and neuromorphic system design
  • Published research in top-tier AI conferences (NeurIPS, ICML, etc.)
  • Proven track record of scaling ML systems to 10M+ user interactions
  • Deep understanding of generative AI architectures (GPT, Diffusion Models)
  • Experience with ethical AI frameworks and bias mitigation
  • Strong background in cloud-native AI infrastructure (AWS/GCP/Azure)
  • Ability to secure $2M+ in R&D funding for 2026 technology initiatives

Required Skills

Quantum Computing Neuromorphic Systems Generative AI Machine Learning AI Ethics Research Leadership Cloud Infrastructure

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