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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer - 2026 Tech Vision

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering next-generation AI systems that will redefine industries, and we're seeking a visionary Senior AI/ML Engineer to architect our quantum-compute-powered neural networks. This role offers unparalleled opportunities to shape the future of autonomous systems, ethical AI frameworks, and human-machine symbiosis.

Why Nexus Future Labs? We combine Silicon Valley innovation with deep ethical research, offering competitive equity, unlimited learning stipends, and the chance to work directly with Nobel laureates. Our state-of-the-art lab features quantum computing clusters and neuro-symbolic AI testbeds.

Responsibilities

  • Architect and deploy quantum-enhanced machine learning models for real-world applications
  • Lead cross-functional teams in developing ethical AI governance frameworks
  • Design neuromorphic computing systems for edge AI deployment
  • Pioneer federated learning protocols for privacy-preserving AI
  • Optimize neural-symbolic AI architectures for explainable decision-making
  • Collaborate with neuroscientists on brain-inspired AI systems
  • Drive innovation in AI safety and alignment technologies

Qualifications

  • PhD or equivalent experience in AI/ML with 5+ years in production-level systems
  • Expertise in quantum machine learning frameworks (e.g., PennyLane, Qiskit)
  • Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Proficiency in neuromorphic computing (e.g., Intel Loihi, IBM TrueNorth)
  • Deep understanding of ethical AI frameworks and bias mitigation
  • Experience with federated learning and differential privacy
  • Strong background in computational neuroscience
  • Track record of open-source contributions to AI libraries

Required Skills

Quantum Computing Neuromorphic Systems Neural-Symbolic AI Federated Learning Ethical AI Quantum Machine Learning Computational Neuroscience AI Safety Explainable AI

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