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Senior AI/ML Engineer - 2026 Visionary

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join QuantumLeap Technologies at the forefront of 2026's technological revolution. We're seeking a pioneering Senior AI/ML Engineer to architect intelligent systems that will redefine industries. As a key member of our Future Innovation Lab, you'll develop cutting-edge AI solutions while shaping our 5-year technology roadmap. This role offers unparalleled opportunities to work with quantum computing hybrids, neuromorphic processors, and next-gen neural networks.

We offer competitive compensation, equity packages, flexible work arrangements, and a culture that celebrates disruptive thinking. Our state-of-the-art San Francisco campus features immersive R&D labs and collaborative spaces designed for breakthrough innovation.

Responsibilities

  • Architect and deploy production-level AI/ML systems leveraging 2026's emerging technologies
  • Lead development of hybrid quantum-classical machine learning frameworks
  • Design neuromorphic computing solutions for real-time edge processing
  • Collaborate with cross-functional teams to define 2026 technology roadmaps
  • Optimize AI models for next-gen hardware (photonic processors, memristor arrays)
  • Mentor junior engineers and publish research in top-tier AI journals
  • Drive ethical AI governance frameworks for autonomous systems

Qualifications

  • PhD or Master's in Computer Science/AI with 5+ years industry experience
  • Expertise in Python, TensorFlow/PyTorch, and distributed ML frameworks
  • Published research in quantum ML or neuromorphic computing (preferred)
  • Proven experience deploying AI systems at scale (>10M users)
  • Strong background in reinforcement learning and generative adversarial networks
  • Familiarity with photonic computing and neuromorphic hardware architectures
  • Certified in quantum computing fundamentals (IBM Qiskit or equivalent)
  • Portfolio demonstrating innovative AI solutions for complex problems

Required Skills

Python TensorFlow PyTorch Quantum Computing Neuromorphic Engineering Reinforcement Learning Generative AI Distributed Systems Photonic Computing

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