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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer 2026

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus Innovations at the forefront of technological revolution as we pioneer solutions for 2026 and beyond. We're seeking a visionary Senior AI/ML Engineer to architect intelligent systems that will redefine industries. This role offers unparalleled opportunities to work on bleeding-edge projects in autonomous systems, generative AI, and predictive analytics. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Silicon Valley campus, with competitive equity packages and unlimited PTO. Shape the future of human-machine interaction while enjoying comprehensive wellness benefits and flexible hybrid work arrangements.

Responsibilities

  • Design and implement production-level ML pipelines for autonomous decision-making systems
  • Lead research on generative AI models for 2026-era content creation and personalization
  • Optimize neural architectures for real-time inference in edge computing environments
  • Develop ethical AI frameworks ensuring bias mitigation and regulatory compliance
  • Mentor junior engineers and publish breakthrough research in top-tier AI journals
  • Collaborate with quantum computing teams to hybridize classical and quantum ML approaches

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in PyTorch/TensorFlow with proven deployment of large-scale ML systems
  • Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Strong background in MLOps, Kubernetes, and cloud-native architectures
  • Proficiency in C++ for high-performance computing optimization
  • Experience with federated learning and privacy-preserving AI techniques
  • Understanding of quantum computing fundamentals and hybrid ML models

Required Skills

Machine Learning Python PyTorch TensorFlow MLOps Quantum Computing Generative AI Autonomous Systems C++ Kubernetes Ethics AI

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