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Lead AI/ML Engineer

NexusAI Technologies
San Francisco, CA
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join NexusAI Technologies, a trailblazer in artificial intelligence, as we pioneer the next wave of intelligent systems for 2026. We're seeking a visionary Lead AI/ML Engineer to architect groundbreaking machine learning solutions that will redefine industries. This role offers unparalleled opportunities to shape the future of AI while mentoring a world-class team in our state-of-the-art San Francisco headquarters.

At NexusAI, we blend cutting-edge research with practical applications to solve humanity's most pressing challenges. You'll collaborate with Nobel laureates and industry disruptors to develop ethical, scalable AI frameworks. Our culture values intellectual curiosity, rapid prototyping, and sustainable innovation – perfect for professionals who thrive at the intersection of technology and impact.

Responsibilities

  • Architect and deploy production-grade ML pipelines for autonomous systems and predictive analytics
  • Lead a cross-functional team of 8+ engineers in developing next-gen AI solutions
  • Translate complex business requirements into advanced ML models using TensorFlow/PyTorch
  • Establish best practices for MLOps, including model versioning and continuous deployment
  • Drive innovation through applied research in generative AI and reinforcement learning
  • Ensure AI system scalability, security, and ethical compliance across global deployments
  • Present findings to C-suite executives and industry partners at quarterly innovation forums

Qualifications

  • PhD in Computer Science or ML with 5+ years industry experience
  • Expertise in distributed ML frameworks (Spark, Kubeflow) and cloud infrastructure (AWS/GCP)
  • Published research in top-tier AI conferences (NeurIPS, ICML) or equivalent industry impact
  • Proven track record of deploying ML models serving >10M users
  • Strong background in NLP, computer vision, or reinforcement learning
  • Certified in MLOps and responsible AI frameworks
  • Exceptional communication skills with ability to articulate complex concepts to diverse stakeholders

Required Skills

AI/ML TensorFlow PyTorch MLOps Distributed Systems NLP Computer Vision Leadership AWS/GCP Research Ethics

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