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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Innovation Lead

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

Job Description

Join Nexus Innovations Inc. at the forefront of technological evolution as we pioneer the next generation of AI-driven solutions. We seek a visionary AI/ML Innovation Lead to architect transformative systems that redefine industry standards. This role offers unparalleled opportunities to shape the future of artificial intelligence while collaborating with world-class researchers and engineers in our state-of-the-art San Francisco headquarters.

As a key member of our Future Technologies Division, you'll drive high-impact projects spanning generative AI, quantum computing integration, and autonomous systems. We provide competitive equity packages, flexible work arrangements, and dedicated R&D resources to empower your groundbreaking work.

Responsibilities

  • Architect and deploy cutting-edge ML pipelines for real-time data processing
  • Lead cross-functional teams in developing AI solutions for Fortune 500 clients
  • Research and implement novel neural network architectures
  • Drive innovation in generative AI and human-computer interaction
  • Optimize AI models for quantum computing integration
  • Mentor junior engineers and publish research in top-tier journals
  • Collaborate with product teams to translate AI capabilities into market-ready solutions

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and distributed computing
  • Proven track record of deploying production-grade ML systems at scale
  • Strong background in reinforcement learning and generative adversarial networks
  • Experience with quantum computing algorithms and hybrid AI-quantum systems
  • Published research in NeurIPS, ICML, or equivalent venues
  • Exceptional problem-solving skills with ability to navigate ambiguous technical challenges

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch Quantum Computing Reinforcement Learning Generative AI Distributed Systems Research Leadership

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