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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer

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

Job Description

Join QuantumLeap Technologies at the forefront of 2026's AI revolution. We're pioneering next-generation machine learning solutions that will redefine industries worldwide. As a Senior AI/ML Engineer, you'll architect and deploy cutting-edge systems in our state-of-the-art San Francisco innovation lab. Collaborate with elite teams to transform theoretical breakthroughs into scalable commercial applications that impact billions of lives.

Responsibilities

  • Lead end-to-end development of production-grade ML systems for autonomous decision-making platforms
  • Design novel neural architectures for real-time data processing at petabyte scale
  • Implement federated learning protocols ensuring privacy-preserving AI deployment
  • Optimize model inference for edge computing in IoT ecosystems
  • Drive ethical AI governance frameworks and bias mitigation strategies
  • Mentor junior engineers in emerging ML paradigms like quantum-enhanced algorithms

Qualifications

  • 8+ years in ML engineering with proven impact in large-scale deployments
  • Expertise in PyTorch/TensorFlow and distributed computing frameworks
  • PhD or equivalent in Computer Science/AI with peer-reviewed publications
  • Proficiency in MLOps tools (Kubeflow, MLflow) and cloud platforms (AWS/GCP)
  • Strong background in reinforcement learning and generative adversarial networks
  • Experience with cross-functional product development from research to production

Required Skills

Python TensorFlow PyTorch MLOps Reinforcement Learning Generative AI Quantum Computing Distributed Systems AWS Kubernetes

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