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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer

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

Job Description

Join Nexus Innovations at the forefront of 2026's technological revolution! We're seeking a visionary Senior AI/ML Engineer to architect and deploy next-generation artificial intelligence solutions that will redefine industries. Our cutting-edge R&D lab in San Francisco combines quantum computing, neural networks, and predictive analytics to solve humanity's greatest challenges. You'll collaborate with Nobel laureates and industry pioneers in an environment where innovation isn't just encouraged—it's mandated.

As a key architect of our AI infrastructure, you'll work on projects ranging from autonomous systems to personalized medicine, leveraging our proprietary quantum-enhanced frameworks. We offer unparalleled resources, flexible work arrangements, and equity packages that reward true pioneers. If you're ready to build the future, this is your moment.

Responsibilities

  • Design and implement scalable ML pipelines using quantum-accelerated computing platforms
  • Lead research on generative AI models for enterprise applications
  • Architect ethical AI frameworks ensuring compliance with 2026's evolving regulatory standards
  • Mentor junior engineers in emerging AI paradigms like neuromorphic computing
  • Collaborate with quantum computing teams to optimize hybrid AI-quantum workflows
  • Develop real-time inference systems for autonomous decision-making platforms
  • Contribute to open-source projects advancing responsible AI development

Qualifications

  • PhD in Computer Science, AI, or related field (or equivalent research experience)
  • 5+ years building production ML systems with TensorFlow/PyTorch
  • Expertise in quantum machine learning algorithms and frameworks
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML)
  • Proficiency in Python, C++, and quantum programming languages (Qiskit, Cirq)
  • Experience with MLOps tools (Kubeflow, MLflow) for large-scale deployments
  • Demonstrated understanding of ethical AI bias mitigation techniques

Required Skills

AI/ML Quantum Computing TensorFlow PyTorch Machine Learning Python C++ MLOps Ethical AI Neural Networks

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