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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - Future Tech Innovator

Nexus AI Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus AI Solutions at the forefront of 2026's technological revolution! We're seeking visionary AI/ML Engineers to architect intelligent systems that will redefine industries. Shape the future with cutting-edge projects in autonomous systems, quantum-enhanced algorithms, and ethical AI frameworks. Work alongside Nobel-caliber researchers in our state-of-the-art Silicon Valley lab, where innovation isn't just encouraged—it's mandated. Enjoy unparalleled perks including unlimited learning stipends, flexible hybrid work, and equity in a unicorn-scale startup.

Your Impact: Lead development of next-gen AI solutions that process exabyte-scale data while maintaining quantum-computing efficiency. Collaborate with cross-disciplinary teams to deploy models achieving 99.99% accuracy in real-world scenarios.

Responsibilities

  • Architect and implement production-scale ML pipelines using TensorFlow/PyTorch
  • Develop quantum-enhanced algorithms for 2026-era computational challenges
  • Create ethical AI frameworks ensuring bias-free autonomous decision systems
  • Optimize models for edge-to-cloud deployment across heterogeneous hardware
  • Lead research in neuromorphic computing and biologically-inspired networks
  • Collaborate with quantum computing teams for hybrid AI solutions
  • Mentor junior engineers in emerging AI paradigms

Qualifications

  • MS/PhD in Computer Science, AI, or Quantum Computing (or equivalent experience)
  • 5+ years building production ML systems with 99.9%+ uptime
  • Expertise in distributed ML frameworks (Ray, Dask, Kubeflow)
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML)
  • Proficiency in quantum programming languages (Q#, Qiskit)
  • Experience deploying models on quantum-classical hybrid systems
  • Deep understanding of transformer architectures and attention mechanisms
  • Certification in AI ethics (e.g., IEEE Ethically Aligned Design)

Required Skills

Machine Learning Deep Learning TensorFlow PyTorch Quantum Computing AI Ethics Distributed Systems Quantum Programming Transformer Architecture Neuromorphic Computing

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