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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Systems Architect

Nexus Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we build autonomous systems for 2026. We're seeking visionary AI/ML Systems Architects to design next-generation neural architectures that will redefine human-machine interaction. This role offers unparalleled opportunity to shape the future of AI while working with quantum-inspired computing models and edge-integrated learning frameworks.

Our innovation lab operates at the intersection of neuroscience and machine learning, developing solutions for autonomous vehicles, predictive healthcare, and decentralized AI networks. You'll collaborate with Nobel laureates and Turing Award winners in an environment where breakthroughs are daily occurrences.

Responsibilities

  • Architect scalable ML pipelines for real-time inference across edge-to-cloud ecosystems
  • Design federated learning frameworks compliant with 2026 quantum computing standards
  • Lead development of explainable AI systems for regulated industries (healthcare/finance)
  • Optimize transformer architectures for low-power neuromorphic hardware
  • Create ethical AI governance frameworks aligned with evolving global regulations
  • Mentor cross-functional teams in agile development of prototype systems

Qualifications

  • PhD in Computer Science/AI with 5+ years industry experience
  • Published research in top-tier ML conferences (NeurIPS/ICML)
  • Expertise in PyTorch 2.0+ and distributed training frameworks
  • Proficiency with quantum computing libraries (Qiskit/Cirq)
  • Deep understanding of neuromorphic hardware (Intel Loihi/IBM TrueNorth)
  • Track record deploying production ML systems at >10M TPS scale
  • Experience with federated learning and differential privacy

Required Skills

AI/ML PyTorch Quantum Computing Neuromorphic Systems Federated Learning Explainable AI Edge Computing Ethics in AI

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