Machine Learning Infrastructure Engineer

Saxon GlobalRedwood City, CA

About The Position

We are seeking a highly experienced Machine Learning Infrastructure Engineer with a strong foundation in machine learning, deep learning, and computer vision. The ideal candidate will have proven experience with scalable ML infrastructure and distributed systems, and be proficient in Python and software development best practices. Experience with LLMs, LVMs, and RAG in production environments, as well as bare metal experience, is essential. Excellent communication and collaboration skills are required, along with experience working in real-time video processing environments.

Requirements

  • 6+ years of industry experience (minimum 4 years in the U.S.)
  • BS/MS in Computer Science or related field
  • Strong foundation in machine learning, deep learning, and computer vision
  • Proven experience with scalable ML infrastructure and distributed systems
  • Proficient in Python and software development best practices
  • Experience with LLMs, LVMs, and RAG in production environments
  • Bare metal experience
  • Excellent communication and collaboration skills
  • Experience working in real-time video processing environments
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service