AI Data Infrastructure Engineer

Job Summary

Seeking an experienced AI Data Infrastructure Engineer, the full-time remote position will design and operate large-scale data pipelines, build ingestion systems for diverse modalities, and implement data quality assurance processes to support AI training and evaluation workflows.

Key Responsibilities

• Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflows
• Build ingestion systems for diverse modalities including text, image, audio, video, and structured signals
• Implement data cleaning, deduplication, filtering, and quality assurance at petabyte scale

Required Qualifications

• Bachelor's or Master's degree in Computer Science or a related field
• Six or more years of data engineering experience, with significant work 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