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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - 2026 Vision

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

Job Description

Shape the future as a pioneering AI/ML Engineer at QuantumLeap Technologies, where we're architecting the intelligent systems of 2026. Join our elite R&D team to develop cutting-edge machine learning solutions that will redefine industries tomorrow. You'll collaborate with world-class researchers in a dynamic environment focused on ethical AI development and scalable neural architectures. We offer unparalleled growth opportunities, competitive equity packages, and the chance to work on projects that will impact billions of lives.

Responsibilities

  • Design and implement next-gen ML models for autonomous systems and predictive analytics
  • Lead research in quantum computing integration with classical ML frameworks
  • Develop scalable data pipelines processing petabytes of real-time IoT data
  • Architect federated learning systems for privacy-preserving AI deployment
  • Optimize neural networks for edge computing in 6G-enabled environments
  • Collaborate with cross-functional teams to deploy ML models at global scale
  • Stay ahead of emerging AI trends and publish breakthrough research

Qualifications

  • MS/PhD in Computer Science, AI, or related field (5+ years experience)
  • Expertise in PyTorch/TensorFlow and distributed ML frameworks
  • Strong background in NLP, computer vision, and reinforcement learning
  • Proven experience with MLOps and cloud-native architectures (AWS/GCP)
  • Research publication record at top-tier AI conferences (NeurIPS, ICML)
  • Deep understanding of ethical AI principles and bias mitigation
  • Proficiency in Python, C++, and high-performance computing
  • Experience with quantum programming libraries (Qiskit, Cirq)

Required Skills

Machine Learning Deep Learning PyTorch TensorFlow Quantum Computing MLOps NLP Computer Vision Distributed Systems Python C++ AWS GCP Research

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