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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - Future Tech Innovations

QuantumLeap Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join QuantumLeap Solutions at the forefront of 2026 technological disruption! We're pioneering AI-driven solutions that will redefine industries by 2026. As an AI/ML Engineer, you'll architect intelligent systems that power our next-generation autonomous platforms and predictive analytics suite. Our team operates in a cutting-edge environment where your innovations directly shape the future of human-machine collaboration.

We offer competitive equity packages, unlimited learning stipends, and flexible work arrangements. Work alongside Nobel laureates and disruptors who are building tomorrow's breakthroughs today.

Responsibilities

  • Design and implement scalable ML pipelines for real-time data processing
  • Develop cutting-edge AI algorithms for autonomous decision-making systems
  • Optimize neural networks for edge computing deployment in IoT ecosystems
  • Lead A/B testing frameworks for next-gen AI model validation
  • Collaborate with quantum computing researchers for hybrid algorithm development
  • Architect federated learning systems for cross-organizational data collaboration
  • Present breakthrough findings at industry conferences and publish in top-tier journals

Qualifications

  • PhD or Master's in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in PyTorch/TensorFlow and distributed computing frameworks
  • Published research in top-tier ML conferences (NeurIPS, ICML, ICLR)
  • Proficiency in quantum machine learning algorithms and hybrid AI systems
  • Experience deploying ML models at scale (>10M daily inferences)
  • Strong background in ethical AI development and bias mitigation
  • Portfolio demonstrating 3+ production-level AI deployments

Required Skills

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

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