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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - 2026 Visionary

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join QuantumLeap Technologies at the forefront of 2026's technological revolution! We're seeking an innovative AI/ML Engineer to architect next-generation solutions that will redefine industries. You'll work in our state-of-the-art San Francisco lab, collaborating with Nobel laureates and disrupting the boundaries of artificial intelligence. Our team develops autonomous systems, quantum-optimized ML models, and neural interfaces that will power the decade's most transformative innovations.

We offer unparalleled resources, a culture that celebrates bold experimentation, and equity in our moonshot projects. Shape the future with us.

Responsibilities

  • Design and implement cutting-edge ML algorithms for quantum computing environments
  • Lead development of autonomous decision systems for 2026's smart infrastructure
  • Architect neural interfaces bridging biological and digital realms
  • Optimize AI models for edge deployment in next-gen IoT ecosystems
  • Pioneer generative AI frameworks for creative industry applications
  • Mentor junior researchers in emerging AI paradigms
  • Collaborate with quantum physics teams on hybrid AI-quantum solutions

Qualifications

  • PhD in Machine Learning, Computer Science, or related field (or equivalent experience)
  • 5+ years developing production AI/ML systems with measurable impact
  • Expertise in quantum machine learning frameworks (Qiskit, Cirq)
  • Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Proficiency in federated learning and differential privacy techniques
  • Experience with neuromorphic computing hardware (Intel Loihi, IBM TrueNorth)
  • Portfolio demonstrating 2026-relevant projects (autonomous systems, quantum AI)

Required Skills

Quantum Computing Neural Interfaces Autonomous Systems Generative AI Federated Learning Neuromorphic Hardware Python TensorFlow PyTorch

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