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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Engineer - Shaping the Future (2026)

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as our Lead AI Engineer for 2026 initiatives. We're pioneering next-generation AI systems that redefine human-machine interaction, and we need visionary leaders to architect this future. You'll lead a multidisciplinary team in developing cutting-edge machine learning models, ethical AI frameworks, and scalable solutions that impact billions of lives. This role offers unparalleled opportunities to shape the AI landscape while working in our state-of-the-art San Francisco innovation hub.

We offer competitive compensation, equity packages, flexible work arrangements, and comprehensive benefits including premium healthcare and retirement planning. Your work will directly influence how society interacts with artificial intelligence in the coming decade.

Responsibilities

  • Architect and deploy production-grade AI systems using transformer models and neural networks
  • Lead a cross-functional team of 8+ engineers and researchers in agile development cycles
  • Develop ethical AI frameworks ensuring bias mitigation and transparency
  • Collaborate with product teams to translate business requirements into technical solutions
  • Optimize AI infrastructure for scalability and real-time processing capabilities
  • Stay ahead of emerging AI trends and integrate breakthrough technologies
  • Mentor junior engineers and foster a culture of innovation

Qualifications

  • 10+ years in AI/ML with 5+ years in leadership roles
  • Expertise in PyTorch, TensorFlow, and distributed computing frameworks
  • Published research in top-tier AI conferences (NeurIPS, ICML, etc.)
  • Proven track record of deploying large-scale ML systems
  • Strong background in computer vision and NLP
  • PhD or equivalent in Computer Science, Mathematics, or related field
  • Experience with MLOps and CI/CD pipelines for ML

Required Skills

AI Machine Learning Deep Learning PyTorch TensorFlow Computer Vision NLP Distributed Systems MLOps Leadership

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