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Information Technology 🏒 Full Time ⭐️ Verified

AI/ML Engineer (2026 Vision)

Nexus Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Shape the future at Nexus Technologies! We're seeking a visionary AI/ML Engineer to architect breakthrough systems for 2026 and beyond. Join our elite team in San Francisco where cutting-edge innovation meets real-world impact. You'll lead the development of adaptive AI solutions that redefine industries while working alongside world-class researchers in our state-of-the-art R&D center. This isn't just a roleβ€”it's your chance to build the technologies that will power the next decade of human progress.

As a pioneer in our 2026 Vision Initiative, you'll receive unparalleled resources, competitive equity packages, and mentorship from industry legends. Our culture celebrates bold thinking, rapid experimentation, and breakthrough achievements. If you're ready to transform theoretical possibilities into tangible innovations that will shape tomorrow's world, this is your moment.

Responsibilities

  • Architect and deploy next-gen ML systems for autonomous decision-making frameworks
  • Lead research in quantum-resistant AI algorithms preparing for 2026 security landscape
  • Develop neural network architectures capable of real-time adaptation to dynamic environments
  • Collaborate with quantum computing teams to hybridize classical and quantum ML models
  • Design ethical AI governance frameworks aligned with 2026 regulatory standards
  • Mentor cross-functional teams in implementing AI-first development methodologies
  • Drive innovation in human-AI collaboration interfaces for seamless symbiotic workflows

Qualifications

  • PhD or Master's in Computer Science/AI with 5+ years ML engineering experience
  • Expertise in PyTorch/TensorFlow with production-level deployment of complex neural networks
  • Published research in top-tier AI conferences (NeurIPS, ICML, ICLR) or equivalent industry impact
  • Proficiency in quantum computing frameworks (Qiskit, Cirq) or quantum machine learning
  • Deep understanding of federated learning and differential privacy for 2026 data landscapes
  • Experience leading AI ethics initiatives and bias mitigation frameworks
  • Portfolio demonstrating deployment of systems processing 10M+ daily transactions

Required Skills

Machine Learning Artificial Intelligence Quantum Computing Neural Networks PyTorch TensorFlow Quantum Machine Learning AI Ethics Federated Learning

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