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 for AI training and evaluation, focusing on data ingestion, transformation, and quality assurance.

Key Responsibilities

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

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