Senior Remote AI Data Pipeline Engineer

Bright Vision Technologies; Issaquah (WA); On-site; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an AI Pipeline Engineer to design and operate large-scale data systems powering AI training and evaluation. This role focuses on ingestion, transformation, quality assurance, lineage, and high-throughput data delivery to training jobs across multimodal data.

You should have experience with petabyte-scale data systems, strong software engineering, and an understanding of how data choices affect model quality and training efficiency.

Qualifications

• Bachelor’s or Master’s degree in CS or related field.
• 6+ years of data engineering experience, with ML/AI workloads.
• Proficiency in Python and at least one JVM or systems language.
• Experience with Spark, Ray, or Beam.
• Petabyte-scale storage/pipeline systems experience.
• Understanding of distributed systems, data modeling, and storage formats.
• Dataset versioning and reproducibility for ML workflows.
• High-throughput data loading for accelerator-based training.
• Strong software engineering practices (testing, CI/CD, code review).
• Excellent communication and cross-functional collaboration skills.

Responsibilities

• Design and operate large-scale data pipelines for AI training/evaluation.
• Build ingestion systems for heterogeneous modalities (text, image, audio, video, structured data).
• Implement data cleaning, deduplication, QoS, and quality assurance at petabyte scale.
• Develop dataset versioning, lineage, and provenance tracking for reproducible training.
• Build high-throughput data loading to maximize GPU utilization during training.
• Implement labeling workflows, active learning, and human-in-the-loop data improvement.

Skills

Python

Distributed systems

Data engineering

Communication

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Spark

Ray

Beam

CI/CD

Job description

Bright Vision Technologies is seeking an AI Pipeline Engineer to design and operate large-scale data systems powering AI training and evaluation. This role focuses on ingestion, transformation, quality assurance, lineage, and high-throughput data delivery to training jobs across multimodal data.

You should have experience with petabyte-scale data systems, strong software engineering, and an understanding of how data choices affect model quality and training efficiency.