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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join QuantumLeap Technologies as we redefine the future of artificial intelligence in 2026. We seek a visionary Senior AI/ML Engineer to architect next-generation machine learning solutions that will transform industries. Work alongside world-class researchers in our state-of-the-art San Francisco hub, where your innovations will impact billions of users globally. We offer unparalleled growth opportunities, competitive equity packages, and a culture that celebrates bold thinking.

What You'll Achieve: Lead development of autonomous AI systems, publish groundbreaking research at top-tier conferences, and mentor the next generation of AI pioneers. Our engineers shape products that push the boundaries of what's possible—from quantum-optimized neural networks to ethical AI frameworks.

Responsibilities

  • Design and implement cutting-edge ML models for autonomous systems and predictive analytics
  • Architect scalable AI infrastructure leveraging quantum computing paradigms
  • Collaborate with cross-functional teams to deploy production-ready ML pipelines
  • Drive innovation in ethical AI and bias mitigation frameworks
  • Lead research initiatives for next-generation neural architectures
  • Mentor junior engineers and conduct technical workshops
  • Optimize model performance for edge and cloud deployment environments

Qualifications

  • PhD in Computer Science/AI or equivalent with 5+ years industry experience
  • Expertise in deep learning frameworks (TensorFlow, PyTorch) and quantum ML libraries
  • Proven track record of deploying ML systems at scale (>10M users)
  • Strong background in distributed computing and cloud architecture (AWS/GCP)
  • Published research at NeurIPS, ICML, or equivalent tier-1 conferences
  • Experience with MLOps and CI/CD for ML workflows
  • Fluency in Python, C++, and high-performance computing paradigms

Required Skills

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

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