AI Data Infrastructure Engineer

Job Summary

To support the development of large-scale data systems for AI training and evaluation, the full-time AI Data Infrastructure Engineer will design and operate data pipelines remotely, ensuring high-quality data delivery across diverse modalities.

Key Responsibilities

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