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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - Future Tech Visionary

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join QuantumLeap Dynamics at the forefront of technological innovation. We're seeking an AI/ML Engineer to architect and deploy cutting-edge solutions that will define 2026's digital landscape. Work with Fortune 500 clients to transform industries through generative AI, predictive analytics, and autonomous systems. Enjoy a culture of relentless innovation, flexible work arrangements, and equity participation in our unicorn trajectory.

Responsibilities

  • Design scalable ML pipelines for real-time data processing and autonomous decision-making systems
  • Develop novel generative AI models for content creation, simulation, and personalized experiences
  • Implement robust MLOps frameworks to ensure model deployment, monitoring, and continuous improvement
  • Collaborate with cross-functional teams to integrate AI solutions into existing enterprise architectures
  • Lead research initiatives in ethical AI alignment and explainable AI methodologies
  • Present technical breakthroughs to C-suite executives and industry thought leaders

Qualifications

  • Master's or PhD in Computer Science, Mathematics, or related field with 5+ years of ML engineering experience
  • Proven expertise in transformer architectures, reinforcement learning, and generative adversarial networks
  • Proficiency in PyTorch, TensorFlow, and cloud-based ML deployment (AWS/GCP/Azure)
  • Strong background in distributed computing, Kubernetes, and containerization technologies
  • Published research in top-tier AI conferences (NeurIPS, ICML, CVPR) or equivalent industry impact
  • Demonstrated experience scaling ML systems to handle petabyte-scale data streams
  • Exceptional problem-solving abilities with portfolio showcasing end-to-end AI product development

Required Skills

Machine Learning Deep Learning Python PyTorch TensorFlow AWS MLOps Generative AI Reinforcement Learning Distributed Systems

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