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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer (2026 Tech Focus)

QuantumLeap Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join QuantumLeap Systems at the forefront of 2026 technological innovation. We're seeking a visionary AI/ML Engineer to architect next-generation solutions that will redefine industries. Work in our cutting-edge San Francisco lab, collaborating with Nobel laureates and industry pioneers to deploy AI systems that learn, adapt, and evolve autonomously. This role offers unparalleled exposure to quantum-integrated machine learning and neuromorphic computing paradigms.

Responsibilities

  • Design and implement self-optimizing neural networks for quantum computing environments
  • Develop adaptive AI systems that evolve in real-time based on emergent data patterns
  • Lead cross-functional teams in deploying 2026-ready ML pipelines for autonomous systems
  • Architect ethical AI frameworks with built-in explainability and bias mitigation
  • Pioneer neuromorphic computing applications for energy-efficient deep learning
  • Translate theoretical breakthroughs into production-ready scalable solutions

Qualifications

  • PhD in Computer Science, AI, or Quantum Computing with 5+ years industry experience
  • Expertise in quantum machine learning frameworks (Qiskit, Cirq) and neuromorphic computing
  • Proven track record deploying autonomous AI systems in production environments
  • Mastery of distributed ML architectures (Federated Learning, Swarm Intelligence)
  • Published research in top-tier AI/ML conferences or journals
  • Strong background in ethical AI development and regulatory compliance
  • Experience with next-gen hardware (quantum processors, photonic chips)

Required Skills

Quantum Computing Neuromorphic Engineering Federated Learning Explainable AI Autonomous Systems Quantum Machine Learning Swarm Intelligence Ethical AI

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