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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer (2026 Visionary Role)

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

Job Description

Join Nexus Innovations at the forefront of technological evolution. We're seeking an AI/ML Engineer to architect solutions that will define 2026's digital landscape. As a pioneer in quantum-enhanced machine learning, you'll collaborate with world-class researchers to deploy intelligent systems that adapt, learn, and revolutionize industries. Our culture blends Silicon Valley innovation with sustainable tech ethics, offering unparalleled growth in a state-of-the-art campus overlooking the Bay. Compete for the future with benefits including unlimited learning stipends, four-day work weeks, and equity in our 2026 unicorn trajectory.

Responsibilities

  • Design and implement production-grade ML pipelines using quantum computing frameworks
  • Lead neural architecture optimization for real-time edge deployment
  • Develop federated learning systems for privacy-preserving AI collaboration
  • Architect explainable AI (XAI) frameworks for regulated industries
  • Automate MLOps workflows for 2026's autonomous infrastructure
  • Research and integrate multimodal learning techniques across vision, NLP, and sensor data
  • Mentor junior engineers in ethical AI development practices

Qualifications

  • 5+ years in ML engineering with 2+ years in quantum-adjacent projects
  • Expertise in Python, TensorFlow/PyTorch, and cloud platforms (AWS/GCP)
  • Published research in top-tier AI conferences or equivalent industry impact
  • Proven experience deploying models at scale (>100M users)
  • Strong foundation in differential privacy and adversarial ML
  • Master's degree in Computer Science, Mathematics, or equivalent
  • Portfolio demonstrating end-to-end ML system implementation
  • Experience with autonomous systems or robotics preferred

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch Quantum Computing MLOps Federated Learning AWS GCP Computer Vision NLP Data Engineering Ethics in AI

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