AI Data Infrastructure Engineer

Job Summary

AI Data Infrastructure Engineer, a full-time remote position requiring over six years of experience to design and operate large-scale data systems for AI training and evaluation pipelines.

Key Responsibilities

• Design and operate large-scale data pipelines supporting AI training and evaluation workflows
• Build ingestion systems for diverse modalities and implement data quality assurance at petabyte scale
• Collaborate with ML researchers to align data systems with model development needs

Required Qualifications

• Bachelor's or Master's degree in Computer Science or a related field
• Six or more years of data engineering experience, particularly with ML or AI workloads
• Strong proficiency in Python and at least one JVM or systems language
• Deep experience with modern data processing frameworks such as Spark, Ray, or Beam
• Hands-on experience operating petabyte-scale storage and pipeline systems