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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - 2026 Visionary

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

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution as we architect solutions for 2026 and beyond. We're seeking an AI/ML Engineer to pioneer next-generation systems that will redefine industries. Our culture combines Silicon Valley innovation with ethical AI development, offering unparalleled opportunities to shape the future. You'll collaborate with Nobel laureates and disruptors in our state-of-the-art research lab, where your work directly impacts global sustainability initiatives and human augmentation technologies.

What you'll achieve:

  • Develop autonomous AI systems for climate modeling and resource optimization
  • Architect neural networks enabling real-time predictive analytics
  • Create ethical AI frameworks for human-AI symbiosis
  • Pioneer quantum-ML hybrid computing approaches
  • Lead cross-functional teams in developing AGI prototypes

Responsibilities

  • Design and implement advanced ML pipelines for 2026-era data ecosystems
  • Develop generative AI models for synthetic data augmentationOptimize edge AI deployment for IoT infrastructureCreate explainable AI frameworks for regulated industriesResearch and integrate emerging AI paradigms (e.g., neuromorphic computing)Mentor junior engineers in ethical AI development practicesCollaborate with quantum computing teams on hybrid algorithms

Qualifications

  • PhD in Computer Science/AI or equivalent with 5+ years industry experienceExpertise in PyTorch/TensorFlow with production-level deploymentPublished research in top-tier ML conferences (NeurIPS/ICML)Proficiency in quantum programming languages (Qiskit/Cirq)Experience with federated learning and differential privacyStrong background in computational neurosciencePortfolio demonstrating end-to-end AI system development

Required Skills

AI/ML Deep Learning PyTorch TensorFlow Quantum Computing Neural Networks Generative AI Edge Computing Ethics in AI Data Science

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