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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer (2026 Future Tech)

QuantumLeap Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join QuantumLeap Systems at the forefront of technological innovation as we pioneer breakthrough AI/ML solutions for the 2026 era. We're seeking visionary engineers to develop next-generation autonomous systems, predictive analytics platforms, and quantum-enhanced machine learning models. Our cutting-edge R&D lab in San Francisco offers unparalleled resources to transform theoretical concepts into real-world applications that will shape the future of human-machine collaboration.

Responsibilities

  • Design and implement scalable ML pipelines for autonomous systems and predictive analytics
  • Develop quantum-enhanced algorithms to solve complex optimization problems
  • Lead research in neural architecture search and transfer learning for edge devices
  • Collaborate with cross-functional teams to deploy AI solutions in production environments
  • Create ethical frameworks for responsible AI development and deployment
  • Publish research in top-tier AI/ML conferences and journals
  • Mentor junior engineers and contribute to technical documentation

Qualifications

  • PhD or Master's in Computer Science, AI, or related field with 5+ years experience
  • Expertise in Python, TensorFlow/PyTorch, and distributed computing frameworks
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Experience with quantum computing APIs and hybrid quantum-classical systems
  • Strong background in ethical AI development and bias mitigation
  • Proven ability to lead complex ML projects from conception to deployment
  • Contributions to open-source AI projects preferred

Required Skills

Machine Learning Python TensorFlow PyTorch Quantum Computing Neural Networks AI Ethics Distributed Systems Research Deep Learning

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