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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer - 2026 Visionary

Nexus Futura
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Futura at the forefront of technological evolution as we architect the AI landscape of 2026. We seek a visionary Senior AI/ML Engineer to pioneer next-generation neural architectures and ethical AI frameworks. This role offers unparalleled opportunities to shape human-machine collaboration while working with Fortune 500 clients transforming their digital ecosystems.

Our innovation hub in San Francisco offers state-of-the-art facilities, flexible hybrid work arrangements, and competitive equity packages. As a key member of our Quantum AI Division, you'll contribute to projects that will redefine industry standards.

Responsibilities

  • Design and implement cutting-edge deep learning models for autonomous systems and predictive analytics
  • Lead ethical AI framework development ensuring bias mitigation and transparency
  • Collaborate with quantum computing researchers to hybridize classical and quantum ML approaches
  • Architect scalable MLOps pipelines for real-time inference at petabyte scale
  • Mentor junior engineers in advanced ML paradigms and responsible AI practices
  • Present breakthrough research at premier AI conferences and publish in top-tier journals

Qualifications

  • PhD or MS in Computer Science/AI with 5+ years of production ML deployment experience
  • Expertise in transformer architectures, reinforcement learning, and federated learning
  • Proficiency with PyTorch, TensorFlow, and cloud-native ML stacks (AWS/GCP/Azure)
  • Published research in NeurIPS/ICML/AAAI with 20+ citations
  • Experience building ethical AI governance frameworks and bias detection systems
  • Strong background in distributed computing and container orchestration (Kubernetes)
  • Demonstrated ability to lead cross-functional technical initiatives

Required Skills

AI/ML Deep Learning PyTorch TensorFlow Quantum Computing MLOps Ethics in AI Reinforcement Learning Distributed Systems Python Kubernetes

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