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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - Futurist

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an AI/ML Engineer with a futurist mindset to architect intelligent systems that will redefine industries. You'll work in our state-of-the-art innovation hub alongside Nobel laureates and industry pioneers to develop cutting-edge algorithms that solve tomorrow's challenges today.

This role offers unparalleled opportunities to shape the future of AI ethics, quantum machine learning, and autonomous systems. Our culture values radical innovation, ethical responsibility, and collaborative disruption. If you're passionate about building the intelligent infrastructure of 2026, this is your calling.

Responsibilities

  • Design and implement next-gen AI/ML frameworks for predictive analytics and autonomous decision-making
  • Lead research in quantum machine learning and ethical AI alignment
  • Collaborate with futurists to develop 5-year technology roadmaps
  • Architect scalable neural networks for real-time data processing
  • Pioneer novel approaches to explainable AI and bias mitigation
  • Drive innovation in federated learning and edge computing ecosystems
  • Mentor junior engineers in emerging AI paradigms

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years of experience
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Expertise in transformer architectures, reinforcement learning, and MLOps
  • Deep understanding of quantum computing principles and their ML applications
  • Proven track record of deploying production-grade AI systems at scale
  • Experience with ethical AI frameworks and responsible innovation practices
  • Strong background in predictive modeling and time-series forecasting

Required Skills

AI Machine Learning Quantum Computing Neural Networks Reinforcement Learning MLOps Predictive Analytics Ethics Python TensorFlow PyTorch

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