Machine Learning Infrastructure Engineer

Saxon Global • Menlo Park, CA

3d

About The Position

We are seeking a highly skilled Machine Learning Infrastructure Engineer with extensive industry experience, particularly in the U.S. The ideal candidate will possess a strong foundation in machine learning, deep learning, and computer vision, coupled with practical experience in building and managing distributed systems and scalable ML infrastructure. Proficiency in Python and adherence to software development best practices are essential. A key aspect of this role involves hands-on experience with Large Language Models (LLMs), Large Vision Models (LVMs), and Retrieval-Augmented Generation (RAG) techniques. Excellent communication and collaboration skills are crucial for success in this role.

Requirements

• 6+ years of industry experience (including 4+ years in the U.S.)
• Strong foundation in machine learning, deep learning, and computer vision
• Experience with distributed systems and scalable ML infrastructure
• Proficient in Python and software development best practices
• Hands-on experience with LLMs, LVMs, and Retrieval-Augmented Generation (RAG)
• Excellent communication and collaboration skills

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed