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Senior AI/ML Engineer - 2026 Visionary

QuantumLeap Technologies
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join QuantumLeap Technologies as a Senior AI/ML Engineer and architect the future of intelligent systems. We're seeking visionary pioneers to develop cutting-edge AI solutions that will redefine industries by 2026. Work in our state-of-the-art Austin hub where innovation meets impact.

As a key member of our Future Systems Division, you'll collaborate with Nobel-caliber researchers to transform theoretical concepts into scalable AI architectures. Our team operates at the intersection of quantum computing, neural networks, and predictive analytics, solving challenges that seemed impossible just yesterday.

QuantumLeap offers unparalleled opportunities to shape tomorrow's technological landscape while receiving competitive compensation, equity packages, and access to industry-leading R&D facilities. Your work here will directly influence the AI revolution.

Responsibilities

  • Design and implement next-gen ML architectures for autonomous systems and predictive analytics
  • Lead research initiatives in quantum-enhanced machine learning algorithms
  • Develop scalable AI solutions processing petabytes of real-time data
  • Mentor cross-functional teams of engineers and data scientists
  • Architect secure AI frameworks compliant with 2026 regulatory standards
  • Pioneer novel approaches to unsupervised learning and generative AI
  • Collaborate with product teams to commercialize breakthrough AI innovations

Qualifications

  • PhD or MS in Computer Science/ML with 5+ years production AI experience
  • Expertise in TensorFlow, PyTorch, and distributed ML frameworks
  • Proven track record deploying large-scale ML systems (>1M users)
  • Deep knowledge of quantum computing principles and hybrid AI models
  • Experience with MLOps, Kubernetes, and cloud-native AI deployment
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML)
  • Strong background in ethical AI development and bias mitigation

Required Skills

AI/ML TensorFlow PyTorch Quantum Computing MLOps Distributed Systems Neural Networks Predictive Analytics Python Kubernetes Research Leadership

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