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AI Research Engineer 2026

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Mei 2026
Deadline
30 Mei 2027

Job Description

Join QuantumLeap Technologies at the forefront of 2026's technological revolution. We're seeking visionary AI Research Engineers to architect next-generation neural networks and quantum computing interfaces. Shape the future of human-machine collaboration in our state-of-the-art research lab.

As a key member of our Future Systems Division, you'll develop groundbreaking algorithms for autonomous decision-making systems. Collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges through computational innovation.

Responsibilities

  • Design and implement advanced AI frameworks for 2026-era autonomous systems
  • Lead quantum machine learning research initiatives
  • Develop ethical AI governance protocols for next-gen neural networks
  • Create predictive models for climate change mitigation technologies
  • Architect human-AI symbiotic interfaces for healthcare applications
  • Publish peer-reviewed research in top-tier AI conferences

Qualifications

  • PhD in Computer Science, AI, or Quantum Computing (MS with exceptional experience)
  • 5+ years developing production-grade neural networks
  • Expertise in quantum computing frameworks (Qiskit, Cirq)
  • Published research at NeurIPS, ICML, or equivalent
  • Proficiency in Python, TensorFlow, and PyTorch
  • Experience with federated learning and edge AI deployment

Required Skills

AI Research Quantum Computing Neural Networks Machine Learning Python TensorFlow PyTorch Qiskit

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