AI Data Infrastructure Engineer

Job Summary

AI Data Infrastructure Engineer, responsible for building and operating large-scale data systems for AI training and evaluation pipelines in a full-time remote position.

Key Responsibilities

• Design and operate large-scale data pipelines for AI training and evaluation
• Build ingestion systems for various data modalities and implement data quality assurance
• 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 supporting 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