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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer - 2026 Vision

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

Job Description

Join QuantumLeap Innovations at the forefront of technological evolution as we architect the AI landscape of 2026. We're seeking a visionary Senior AI/ML Engineer to develop next-generation intelligent systems that will redefine industries. This role offers unparalleled opportunities to work with cutting-edge technologies in a collaborative, future-focused environment where your innovations will shape tomorrow's digital ecosystem.

Responsibilities

  • Design and implement scalable machine learning pipelines for predictive analytics and autonomous systems
  • Lead research in neural architecture optimization for 2026-era computational constraints
  • Collaborate with cross-functional teams to integrate AI solutions into quantum computing frameworks
  • Develop ethical AI governance protocols ensuring compliance with 2026 regulatory standards
  • Mentor junior engineers in emerging AI paradigms and responsible AI development practices
  • Architect federated learning systems for distributed data ecosystems
  • Drive innovation in human-AI interaction models for next-generation interfaces

Qualifications

  • 8+ years in AI/ML development with proven expertise in transformer architectures
  • Advanced degree in Computer Science, Mathematics, or related field
  • Proficiency in PyTorch, TensorFlow, and distributed ML frameworks
  • Experience with quantum computing integration or quantum-inspired algorithms
  • Published research in top-tier AI conferences (NeurIPS, ICML, etc.)
  • Strong background in MLOps and CI/CD for AI systems
  • Demonstrated ability to lead technical strategy for enterprise AI deployments
  • Expertise in ethical AI frameworks and bias mitigation techniques

Required Skills

Machine Learning Deep Learning Python PyTorch TensorFlow Quantum Computing Neural Networks MLOps AI Ethics Distributed Systems

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