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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - Future Systems 2026

QuantumLeap Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join QuantumLeap Innovations as we architect the technological frontier of 2026. We seek visionary AI/ML Engineers to develop autonomous systems that will redefine industries. Collaborate with Nobel laureates and disruptors in our state-of-the-art innovation hub. Shape the future through quantum-computing-enhanced machine learning models and next-gen neural networks. Enjoy unparalleled benefits including equity in patent portfolios and unlimited learning stipends.

Responsibilities

  • Design and implement AI/ML frameworks for autonomous decision systems targeting 2026 deployment
  • Develop quantum-enhanced neural networks for predictive analytics
  • Create cross-functional integration protocols for IoT-ML ecosystems
  • Lead ethical AI governance frameworks for future regulatory compliance
  • Architect federated learning systems for edge-optimized inference
  • Research and prototype generative AI applications for 2026 market readiness
  • Mentor junior engineers in emerging ML paradigms

Qualifications

  • PhD or MS in Computer Science/AI with 5+ years of ML deployment experience
  • Expertise in PyTorch/TensorFlow and quantum computing APIs (Qiskit, Cirq)
  • Published research in federated learning or generative models (NeurIPS/ICML)
  • Proven track record shipping production-grade AI systems at scale
  • Deep understanding of ethical AI frameworks and regulatory trends
  • Proficiency in MLOps tools (MLflow, Kubeflow) and cloud-native architectures
  • Experience with neuromorphic computing and edge-optimized inference

Required Skills

AI/ML PyTorch TensorFlow Quantum Computing Federated Learning Generative AI MLOps Neural Networks

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