ML Data Engineer

Bright Vision Technologies • Wesley Chapel, FL

14h • $100,000 - $150,000 • Remote

About The Position

Bright Vision Technologies is seeking an ML Data Engineer to build and operate large-scale data systems that power AI training and evaluation pipelines. The role combines data engineering expertise with an understanding of AI workloads, with a focus on data ingestion, transformation, quality assurance, lineage, and high-throughput delivery to training jobs across diverse modalities. The ideal candidate has operated petabyte-scale data systems, has strong software engineering fundamentals, and understands how data infrastructure choices affect model quality and training efficiency.

This is a full-time, direct W2 position based 100% remotely in the United States. The annual salary range is $100,000–$150,000. U.S. citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply; the company cannot sponsor new H-1B visa petitions for this position.

Requirements

• Bachelor’s or Master’s degree in Computer Science or a related field.
• Six or more years of data engineering experience, including 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.
• Strong understanding of distributed systems, data modeling, and storage formats.
• Experience with dataset versioning, lineage, and reproducibility for ML workflows.
• Familiarity with high-throughput data loading for accelerator-based training.
• Strong software engineering practices, including testing, CI/CD, and code review.
• Excellent communication and cross-functional collaboration skills.

Nice To Haves

• Experience with multimodal datasets at large scale.
• Familiarity with data quality tooling and dataset evaluation methodology.
• Exposure to privacy-preserving data systems and regulated data handling.
• Open-source contributions to data infrastructure projects.
• Experience supporting frontier model training pipelines.

Responsibilities

• Build and operate large-scale data systems for AI training and evaluation pipelines.
• Handle data ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities.
• Support ML workflows with scalable data infrastructure and reproducible datasets.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level