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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer (2026 Visionary)

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join QuantumLeap Dynamics as we architect the future of artificial intelligence for 2026 and beyond. We're seeking a visionary AI/ML Engineer to pioneer breakthrough solutions that will redefine industries. In this pivotal role, you'll collaborate with Nobel laureates and Silicon Valley disruptors to develop quantum-enhanced machine learning models that solve humanity's most complex challenges. Our cutting-edge lab offers unparalleled resources, including access to quantum computing clusters and petabyte-scale datasets.

What Makes This Role Exceptional:

  • Lead development of next-gen AI systems with 10x current capabilities
  • Shape ethical frameworks for autonomous decision-making
  • Work on projects with direct impact on climate modeling, healthcare diagnostics, and space exploration
  • Participate in patent generation and industry thought leadership

Responsibilities

  • Design and implement quantum-resistant ML algorithms for 2026-era applications
  • Architect federated learning systems across distributed quantum networks
  • Develop explainable AI frameworks for high-stakes autonomous systems
  • Create synthetic data generators for training next-gen neural networks
  • Optimize neural architectures for quantum hardware acceleration
  • Lead cross-functional teams in deploying AI solutions at global scale
  • Contribute to open-source frameworks that advance the state of AI

Qualifications

  • PhD in Machine Learning, Quantum Computing, or related field (or equivalent research experience)
  • 5+ years developing production ML systems with measurable impact
  • Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
  • Proven experience with transformer architectures beyond GPT-4 capabilities
  • Publications at NeurIPS, ICML, or Nature Quantum Information
  • Deep understanding of quantum error correction and fault tolerance
  • Experience deploying AI on edge quantum devices

Required Skills

Quantum Machine Learning Qiskit Cirq Neural Architecture Search Quantum Error Correction Federated Learning Explainable AI PyTorch TensorFlow Quantum Hardware Large Language Models Reinforcement Learning NLP Computer Vision

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