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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join QuantumLeap Technologies at the forefront of technological innovation as we pioneer solutions for the 2026 digital landscape. We're seeking a visionary Senior AI/ML Engineer to architect and deploy cutting-edge machine learning systems that will define tomorrow's smart infrastructure. In this pivotal role, you'll collaborate with cross-functional teams to transform complex data challenges into scalable AI solutions while mentoring the next generation of innovators. Our startup culture offers unparalleled autonomy to explore emerging technologies and shape industry standards.

Responsibilities

  • Design and implement advanced ML models for predictive analytics and autonomous systems
  • Lead end-to-end AI solution development from prototype to production deployment
  • Optimize ML pipelines for real-time processing of terabyte-scale datasets
  • Conduct rigorous testing and validation of AI systems using quantum-inspired algorithms
  • Drive innovation in federated learning and ethical AI frameworks
  • Mentor junior engineers in best practices for model explainability and bias mitigation
  • Collaborate with product teams to translate business requirements into technical specifications

Qualifications

  • 8+ years in AI/ML development with 3+ years in production-level systems
  • Expertise in Python, TensorFlow/PyTorch, and distributed computing frameworks
  • Proven track record deploying ML models at scale (AWS/GCP/Azure)
  • PhD or equivalent in Computer Science, Mathematics, or related field
  • Published research in top-tier conferences (NeurIPS, ICML, ICLR)
  • Strong background in quantum computing principles or neuromorphic engineering
  • Experience with MLOps tools (Kubeflow, MLflow, Airflow)
  • Demonstrated ability to lead technical initiatives in agile environments

Required Skills

Python TensorFlow PyTorch AWS GCP Quantum Computing MLOps Distributed Systems Deep Learning AI Ethics

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