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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - 2026 Visionary

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join our pioneering team at QuantumLeap Technologies to architect the future of artificial intelligence. We're seeking visionary AI/ML Engineers to develop cutting-edge solutions that will redefine industries by 2026. This role offers unparalleled opportunities to work with quantum computing hybrids, neural network architectures, and autonomous systems that will shape tomorrow's digital landscape.

Our culture thrives on innovation, collaboration, and ethical AI development. You'll partner with world-class researchers to transform theoretical concepts into scalable, real-world applications while contributing to our mission of creating technology that augments human potential.

Responsibilities

  • Design and implement next-gen ML models leveraging quantum-classical hybrid computing
  • Architect autonomous systems with adaptive learning capabilities for 2026 deployment
  • Lead research in neuromorphic computing and neural-symbolic AI integration
  • Develop ethical AI frameworks ensuring responsible deployment of advanced systems
  • Collaborate with cross-functional teams to commercialize breakthrough AI applications
  • Contribute to patent development for novel AI methodologies
  • Mentor junior engineers in emerging AI paradigms

Qualifications

  • PhD in Computer Science/AI or equivalent with 5+ years of ML engineering experience
  • Expertise in quantum machine learning and hybrid quantum-classical systems
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Proficiency in TensorFlow Quantum, Cirq, and D-Wave APIs
  • Experience deploying ML models at petabyte-scale with sub-50ms latency
  • Strong background in neuromorphic computing and brain-inspired architectures
  • Track record of translating academic research into production-ready systems

Required Skills

Quantum Computing Machine Learning TensorFlow Quantum Neuromorphic Computing Neural-Symbolic AI Python TensorFlow PyTorch D-Wave Research Ethics

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